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Image.h

    00001 //  Astrophysics Science Division,
    00002 //  NASA/ Goddard Space Flight Center
    00003 //  HEASARC
    00004 //  http://heasarc.gsfc.nasa.gov
    00005 //  e-mail: ccfits@legacy.gsfc.nasa.gov
    00006 //
    00007 //  Original author: Ben Dorman
    00008
    00009 #ifndef IMAGE_H
    00010 #define IMAGE_H 1
    00011
    00012 // functional
    00013 #include <functional>
    00014 // valarray
    00015 #include <valarray>
    00016 // vector
    00017 #include <vector>
    00018 // numeric
    00019 #include <numeric>
    00020 #include <sstream>
    00021
    00022 #ifdef _MSC_VER
    00023 #include "MSconfig.h" //form std::min
    00024 #endif
    00025 #include "CCfits.h"
    00026 #include "FitsError.h"
    00027 #include "FITSUtil.h"
    00028
    00029
    00030 namespace CCfits {
    00031
    00032
    00033
    00034   template <typename T>
    00035   class Image
    00036   {
    00037
    00038     public:
    00039         Image(const Image< T > &right);
    00040         Image (const std::valarray<T>& imageArray = std::valarray<T>());
    00041         ~Image();
    00042         Image< T > & operator=(const Image< T > &right);
    00043
    00044         const std::valarray<T>& readImage (fitsfile* fPtr, long first, long nElements, T* nullValue, const std::vector<long>& naxes, bool& nulls);
    00045         const std::valarray<T>& readImage (fitsfile* fPtr, const std::vector<long>& firstVertex, const std::vector<long>& lastVertex, const std::vector<long>& stride, T* nullValue, const std::vector<long>& naxes, bool& nulls);
    00046         // If write operation causes an expansion of the image's outer-most dimension, newNaxisN will be set to the new value.  Else it will be 0.
    00047         void writeImage (fitsfile* fPtr, long first, long nElements, const std::valarray<T>& inData, const std::vector<long>& naxes, long& newNaxisN, T* nullValue = 0);
    00048         void writeImage (fitsfile* fPtr, const std::vector<long>& firstVertex, const std::vector<long>& lastVertex, const std::vector<long>& stride, const std::valarray<T>& inData, const std::vector<long>& naxes, long& newNaxisN);
    00049         void writeImage (fitsfile* fPtr, const std::vector<long>& firstVertex, const std::vector<long>& lastVertex, const std::valarray<T>& inData, const std::vector<long>& naxes, long& newNaxisN);
    00050         bool isRead () const;
    00051         // This allows higher level classes to notify Image that a user-input
    00052         //   scaling value has changed.  Image can then decide how this
    00053         //   should affect reading from cache vs. disk.
    00054         void scalingHasChanged();
    00055         // Give the user (via higher level classes) a way to explicitly set the m_isRead flag
    00056         //   to false, thus providing a fail-safe override of reading from the cache.
    00057         void resetRead();
    00058         const std::valarray< T >& image () const;
    00059
    00060       // Additional Public Declarations
    00061
    00062     protected:
    00063       // Additional Protected Declarations
    00064
    00065     private:
    00066         std::valarray<T>& image ();
    00067         void prepareForSubset (const std::vector<long>& naxes, const std::vector<long>& firstVertex, const std::vector<long>& lastVertex, const std::vector<long>& stride, const std::valarray<T>& inData, std::valarray<T>& subset);
    00068         void loop (size_t iDim, const std::vector<long>& firstVertex, const std::vector<long>& lastVertex, const std::vector<long>& stride, size_t iPos, const std::vector<size_t>& incr, const std::valarray<T>& inData, size_t& iDat, const std::vector<size_t>& subIncr, std::valarray<T>& subset, size_t iSub);
    00069         bool isNullValChanged(T* newNull) const;
    00070         void setLastNullInfo(T* newNull);
    00071
    00072       // Additional Private Declarations
    00073
    00074     private: //## implementation
    00075       // Data Members for Class Attributes
    00076         // When m_isRead = true, assume m_fullImageCache contains the full image from the file.
    00077         bool m_isRead;
    00078
    00079       // Information regarding the usage of null values for the
    00080       // most recent read operation.
    00081         bool m_usingNullVal;
    00082         T m_lastNullVal;
    00083
    00084       // Data Members for Associations
    00085         std::valarray< T > m_fullImageCache;
    00086         std::valarray<T> m_currentRead;
    00087
    00088       // Additional Implementation Declarations
    00089
    00090   };
    00091
    00092   // Parameterized Class CCfits::Image
    00093
    00094   template <typename T>
    00095   inline bool Image<T>::isRead () const
    00096   {
    00097     return m_isRead;
    00098   }
    00099
    00100   template <typename T>
    00101   inline const std::valarray< T >& Image<T>::image () const
    00102   {
    00103     return m_fullImageCache;
    00104   }
    00105
    00106
    00107   // Parameterized Class CCfits::Image
    00108
    00109   template <typename T>
    00110   Image<T>::Image(const Image<T> &right)
    00111         : m_isRead(right.m_isRead),
    00112           m_usingNullVal(right.m_usingNullVal),
    00113           m_lastNullVal(right.m_lastNullVal),
    00114           m_fullImageCache(right.m_fullImageCache),
    00115           m_currentRead(right.m_currentRead)
    00116   {
    00117   }
    00118
    00119   template <typename T>
    00120   Image<T>::Image (const std::valarray<T>& imageArray)
    00121         : m_isRead(false),
    00122           m_usingNullVal(false),
    00123           m_lastNullVal(0),
    00124           m_fullImageCache(imageArray),
    00125           m_currentRead()
    00126   {
    00127   }
    00128
    00129
    00130   template <typename T>
    00131   Image<T>::~Image()
    00132   {
    00133   }
    00134
    00135
    00136   template <typename T>
    00137   Image<T> & Image<T>::operator=(const Image<T> &right)
    00138   {
    00139       // all stack allocated.
    00140      m_isRead = right.m_isRead;
    00141      m_usingNullVal = right.m_usingNullVal,
    00142      m_lastNullVal = right.m_lastNullVal,
    00143      m_fullImageCache.resize(right.m_fullImageCache.size());
    00144      m_fullImageCache = right.m_fullImageCache;
    00145      m_currentRead.resize(right.m_currentRead.size());
    00146      m_currentRead = right.m_currentRead;
    00147      return *this;
    00148   }
    00149
    00150
    00151   template <typename T>
    00152   const std::valarray<T>& Image<T>::readImage (fitsfile* fPtr, long first, long nElements, T* nullValue, const std::vector<long>& naxes, bool& nulls)
    00153   {
    00154      if (!naxes.size())
    00155      {
    00156         m_currentRead.resize(0);
    00157         return m_currentRead;
    00158      }
    00159      unsigned long init(1);
    00160      unsigned long nTotalElements(std::accumulate(naxes.begin(),naxes.end(),init,
    00161                      std::multiplies<long>()));
    00162
    00163      if (first <= 0)
    00164      {
    00165         string errMsg("*** CCfits Error: For image read, lowest allowed value for first element is 1.\n");
    00166         bool silent = false;
    00167         throw FitsException(errMsg, silent);
    00168      }
    00169      // 0-based index for slice
    00170      unsigned long start = (unsigned long)first - 1;
    00171      if (start >= nTotalElements)
    00172      {
    00173         string errMsg("*** CCfits Error: For image read, starting element is out of range.\n");
    00174         bool silent = false;
    00175         throw FitsException(errMsg, silent);
    00176      }
    00177      if (nElements < 0)
    00178      {
    00179         string errMsg("*** CCfits Error: Negative nElements value specified for image read.\n");
    00180         bool silent = false;
    00181         throw FitsException(errMsg, silent);
    00182      }
    00183      const unsigned long elementsRequested = (unsigned long)nElements;
    00184
    00185      int status(0);
    00186      int any (0);
    00187      FITSUtil::MatchType<T> imageType;
    00188
    00189      // truncate to valid array size if too much data asked for.
    00190      unsigned long elementsToRead(std::min(elementsRequested,
    00191                      nTotalElements - start));
    00192      if ( elementsToRead < elementsRequested)
    00193      {
    00194              std::cerr <<
    00195                      "***CCfits Warning: data request exceeds image size, truncating\n";
    00196      }
    00197      const bool isFullRead = (elementsToRead == nTotalElements);
    00198      const bool isDifferentNull = isNullValChanged(nullValue);
    00199      if (!m_isRead || isDifferentNull)
    00200      {
    00201         // Must perform a read from disk.
    00202         m_isRead = false;
    00203         if (isFullRead)
    00204         {
    00205            m_fullImageCache.resize(elementsToRead);
    00206            if (fits_read_img(fPtr,imageType(),first,elementsToRead,
    00207                nullValue,&m_fullImageCache[0],&any,&status) != 0) throw FitsError(status);
    00208            m_isRead = true;
    00209            // For this case only, we'll pass m_fullImageCache back up (to be
    00210            //   copied into user-supplied array).  This spares having to do
    00211            //   what may be a very large copy into m_currentRead.
    00212         }
    00213         else
    00214         {
    00215            m_fullImageCache.resize(0);
    00216            m_currentRead.resize(elementsToRead);
    00217            if (fits_read_img(fPtr,imageType(),first,elementsToRead,
    00218                nullValue,&m_currentRead[0],&any,&status) != 0) throw FitsError(status);
    00219         }
    00220         nulls = (any != 0);
    00221         setLastNullInfo(nullValue);
    00222      }
    00223      else
    00224      {
    00225          if (!isFullRead)
    00226          {
    00227             m_currentRead.resize((size_t)elementsToRead);
    00228             // This may be a costly copy, though should still be faster
    00229             //    than disk read.
    00230             m_currentRead = m_fullImageCache[std::slice((size_t)start, (size_t)elementsToRead,1)];
    00231          }
    00232      }
    00233      if (isFullRead)
    00234         return m_fullImageCache;
    00235
    00236      return m_currentRead;
    00237
    00238   }
    00239
    00240   template <typename T>
    00241   const std::valarray<T>& Image<T>::readImage (fitsfile* fPtr, const std::vector<long>& firstVertex, const std::vector<long>& lastVertex, const std::vector<long>& stride, T* nullValue, const std::vector<long>& naxes, bool& nulls)
    00242   {
    00243      const size_t N = naxes.size();
    00244      if (!N)
    00245      {
    00246         m_currentRead.resize(0);
    00247         return m_currentRead;
    00248      }
    00249      if (N != firstVertex.size() || N != lastVertex.size() || N != stride.size())
    00250      {
    00251         string errMsg("*** CCfits Error: Image read function requires that naxes, firstVertex,");
    00252         errMsg += "       \nlastVertex, and stride vectors all be the same size.\n";
    00253         bool silent = false;
    00254         throw FitsException(errMsg, silent);
    00255      }
    00256
    00257      FITSUtil::CVarray<long> carray;
    00258      int any(0);
    00259      int status(0);
    00260      long requestedSize=1;
    00261      long nTotalSize=1;
    00262
    00263      for (size_t j = 0; j < N; ++j)
    00264      {
    00265         // Intentional truncation during division.
    00266         requestedSize *= ((lastVertex[j] - firstVertex[j])/stride[j] + 1);
    00267         nTotalSize *= naxes[j];
    00268         if (firstVertex[j] < 1 || lastVertex[j] > naxes[j])
    00269         {
    00270            string errMsg("*** CCfits Error: Out-of-bounds vertex value.\n");
    00271            bool silent=false;
    00272            throw FitsException(errMsg,silent);
    00273         }
    00274         if (firstVertex[j] > lastVertex[j])
    00275         {
    00276            string errMsg("*** CCfits Error: firstVertex values must not be larger than corresponding lastVertex values.\n");
    00277            bool silent = false;
    00278            throw FitsException(errMsg,silent);
    00279         }
    00280      }
    00281      const bool isFullRead = (requestedSize == nTotalSize);
    00282      const bool isDifferentNull = isNullValChanged(nullValue);
    00283      if (!m_isRead || isDifferentNull)
    00284      {
    00285         // Must perform a read from disk.
    00286         FITSUtil::auto_array_ptr<long> pFpixel(carray(firstVertex));
    00287         FITSUtil::auto_array_ptr<long> pLpixel(carray(lastVertex));
    00288         FITSUtil::auto_array_ptr<long> pStride(carray(stride));
    00289
    00290         FITSUtil::MatchType<T> imageType;
    00291         m_isRead = false;
    00292         if (isFullRead)
    00293         {
    00294            m_fullImageCache.resize(requestedSize);
    00295            if (fits_read_subset(fPtr,imageType(),
    00296                                    pFpixel.get(),pLpixel.get(),
    00297                                    pStride.get(),nullValue,&m_fullImageCache[0],&any,&status) != 0)
    00298               throw FitsError(status);
    00299            m_isRead = true;
    00300         }
    00301         else
    00302         {
    00303            m_currentRead.resize(requestedSize);
    00304            if (fits_read_subset(fPtr,imageType(),
    00305                                    pFpixel.get(),pLpixel.get(),
    00306                                    pStride.get(),nullValue,&m_currentRead[0],&any,&status) != 0)
    00307               throw FitsError(status);
    00308         }
    00309         nulls = (any != 0);
    00310         setLastNullInfo(nullValue);
    00311      }
    00312      else
    00313      {
    00314         if (!isFullRead)
    00315         {
    00316            // Must convert firstVertex,lastVertex,stride to gslice parameters.
    00317            // Note that in cfitsio, the NAXIS1 dimension varies the fastest
    00318            // when laid out in an array in memory (ie. Fortran style).  Therefore NAXISn
    00319            // ordering must be reversed to C style before passing to gslice.
    00320            size_t startPos=0;
    00321            std::valarray<size_t> gsliceLength(size_t(0),N);
    00322            std::valarray<size_t> gsliceStride(size_t(0),N);
    00323
    00324            std::vector<long> naxesProducts(N);
    00325            long accum=1;
    00326            for (size_t i=0; i<N; ++i)
    00327            {
    00328               naxesProducts[i] = accum;
    00329               accum *= naxes[i];
    00330            }
    00331
    00332            for (size_t i=0; i<N; ++i)
    00333            {
    00334               startPos += static_cast<size_t>((firstVertex[i]-1)*naxesProducts[i]);
    00335               // Here's where we reverse the order:
    00336               const size_t gsPos = N-1-i;
    00337               // Division truncation is intentional.
    00338               gsliceLength[gsPos] = static_cast<size_t>((1 + (lastVertex[i]-firstVertex[i])/stride[i]));
    00339               gsliceStride[gsPos] = static_cast<size_t>(stride[i]*naxesProducts[i]);
    00340            }
    00341            m_currentRead.resize(requestedSize);
    00342            m_currentRead = m_fullImageCache[std::gslice(startPos, gsliceLength, gsliceStride)];
    00343         }
    00344      }
    00345      if (isFullRead)
    00346         return m_fullImageCache;
    00347      return m_currentRead;
    00348   }
    00349
    00350   template <typename T>
    00351   void Image<T>::writeImage (fitsfile* fPtr, long first, long nElements, const std::valarray<T>& inData, const std::vector<long>& naxes, long& newNaxisN, T* nullValue)
    00352   {
    00353      int status(0);
    00354      if (first < 1 || nElements < 1)
    00355      {
    00356         string errMsg("*** CCfits Error: first and nElements values must be > 0\n");
    00357         bool silent = false;
    00358         throw FitsException(errMsg, silent);
    00359      }
    00360      FITSUtil::CAarray<T> convert;
    00361      FITSUtil::auto_array_ptr<T>    pArray(convert(inData));
    00362      T* array = pArray.get();
    00363
    00364      m_isRead = false;
    00365      newNaxisN = 0;
    00366
    00367      FITSUtil::MatchType<T> imageType;
    00368      long type(imageType());
    00369
    00370      if (fits_write_imgnull(fPtr,type,first,nElements,array,
    00371                      nullValue,&status)!= 0)
    00372      {
    00373         throw FitsError(status);
    00374      }
    00375      const size_t nDim=naxes.size();
    00376      long origTotSize=1;
    00377      for (size_t i=0; i<nDim; ++i)
    00378         origTotSize *= naxes[i];
    00379      const long highestOutputElem = first + nElements - 1;
    00380      if (highestOutputElem > origTotSize)
    00381      {
    00382         // NAXIS(nDIM) may have increased.
    00383         std::ostringstream oss;
    00384         oss <<"NAXIS" << nDim;
    00385         string keyname(oss.str());
    00386         long newVal = 1 + (highestOutputElem-1)/(origTotSize/naxes[nDim-1]);
    00387         if (newVal != naxes[nDim-1])
    00388         {
    00389            if (fits_update_key(fPtr,TLONG,(char *)keyname.c_str(),&newVal,0,&status) != 0)
    00390            {
    00391               throw FitsError(status);
    00392            }
    00393            newNaxisN = newVal;
    00394         }
    00395      }
    00396      if (fits_flush_file(fPtr,&status) != 0)
    00397         throw FitsError(status);
    00398
    00399   }
    00400
    00401   template <typename T>
    00402   void Image<T>::writeImage (fitsfile* fPtr, const std::vector<long>& firstVertex, const std::vector<long>& lastVertex, const std::vector<long>& stride, const std::valarray<T>& inData, const std::vector<long>& naxes, long& newNaxisN)
    00403   {
    00404         // input vectors' size equality will be verified in prepareForSubset.
    00405         const size_t nDim = naxes.size();
    00406         FITSUtil::auto_array_ptr<long> pFPixel(new long[nDim]);
    00407         FITSUtil::auto_array_ptr<long> pLPixel(new long[nDim]);
    00408         std::valarray<T> subset;
    00409         m_isRead = false;
    00410         newNaxisN = 0;
    00411         prepareForSubset(naxes,firstVertex,lastVertex,stride,inData,subset);
    00412
    00413         long* fPixel = pFPixel.get();
    00414         long* lPixel = pLPixel.get();
    00415         for (size_t i=0; i<nDim; ++i)
    00416         {
    00417            fPixel[i] = firstVertex[i];
    00418            lPixel[i] = lastVertex[i];
    00419         }
    00420
    00421         FITSUtil::CAarray<T> convert;
    00422         FITSUtil::auto_array_ptr<T> pArray(convert(subset));
    00423         T* array = pArray.get();
    00424         FITSUtil::MatchType<T> imageType;
    00425         int status(0);
    00426
    00427         if ( fits_write_subset(fPtr,imageType(),fPixel,lPixel,array,&status) )
    00428             throw FitsError(status);
    00429
    00430         if (lPixel[nDim-1] > naxes[nDim-1])
    00431         {
    00432            std::ostringstream oss;
    00433            oss << "NAXIS" << nDim;
    00434            string keyname(oss.str());
    00435            long newVal = lPixel[nDim-1];
    00436            if (fits_update_key(fPtr,TLONG,(char *)keyname.c_str(),&newVal,0,&status) != 0)
    00437            {
    00438               throw FitsError(status);
    00439            }
    00440            newNaxisN = lPixel[nDim-1];
    00441         }
    00442         if (fits_flush_file(fPtr,&status) != 0)
    00443            throw FitsError(status);
    00444
    00445   }
    00446
    00447   template <typename T>
    00448   std::valarray<T>& Image<T>::image ()
    00449   {
    00450
    00451     return m_fullImageCache;
    00452   }
    00453
    00454   template <typename T>
    00455   void Image<T>::prepareForSubset (const std::vector<long>& naxes, const std::vector<long>& firstVertex, const std::vector<long>& lastVertex, const std::vector<long>& stride, const std::valarray<T>& inData, std::valarray<T>& subset)
    00456   {
    00457
    00458     // naxes, firstVertex, lastVertex, and stride must all be the same size.
    00459     const size_t N = naxes.size();
    00460     if (N != firstVertex.size() || N != lastVertex.size() || N != stride.size())
    00461     {
    00462        string errMsg("*** CCfits Error: Image write function requires that naxes, firstVertex,");
    00463        errMsg += "       \nlastVertex, and stride vectors all be the same size.\n";
    00464        bool silent = false;
    00465        throw FitsException(errMsg, silent);
    00466     }
    00467     for (size_t i=0; i<N; ++i)
    00468     {
    00469        if (naxes[i] < 1)
    00470        {
    00471           bool silent = false;
    00472           throw FitsException("*** CCfits Error: Invalid naxes value sent to image write function.\n", silent);
    00473        }
    00474        string rangeErrMsg("*** CCfits Error: Out-of-range value sent to image write function in arg: ");
    00475        if (firstVertex[i] < 1 || (firstVertex[i] > naxes[i] && i != N-1))
    00476        {
    00477           bool silent = false;
    00478           rangeErrMsg += "firstVertex\n";
    00479           throw FitsException(rangeErrMsg, silent);
    00480        }
    00481        if (lastVertex[i] < firstVertex[i] || (lastVertex[i] > naxes[i] && i != N-1))
    00482        {
    00483           bool silent = false;
    00484           rangeErrMsg += "lastVertex\n";
    00485           throw FitsException(rangeErrMsg, silent);
    00486        }
    00487        if (stride[i] < 1)
    00488        {
    00489           bool silent = false;
    00490           rangeErrMsg += "stride\n";
    00491           throw FitsException(rangeErrMsg, silent);
    00492        }
    00493     }
    00494
    00495     // nPoints refers to the subset of the image INCLUDING the zero'ed elements
    00496     // resulting from the stride parameter.
    00497     // subSizeWithStride refers to the same subset, not counting the zeros.
    00498     size_t subSizeWithStride = 1;
    00499     size_t nPoints = 1;
    00500     std::vector<size_t> subIncr(N);
    00501     for (size_t i=0; i<N; ++i)
    00502     {
    00503        subIncr[i] = nPoints;
    00504        nPoints *= static_cast<size_t>(1+lastVertex[i]-firstVertex[i]);
    00505        subSizeWithStride *= static_cast<size_t>(1+(lastVertex[i]-firstVertex[i])/stride[i]);
    00506     }
    00507     subset.resize(nPoints, 0);
    00508
    00509     if (subSizeWithStride != inData.size())
    00510     {
    00511        bool silent = false;
    00512        string errMsg("*** CCfits Error: Data array size is not consistent with the values");
    00513        errMsg += "\n      in range and stride vectors sent to the image write function.\n";
    00514        throw FitsException(errMsg, silent);
    00515     }
    00516
    00517     size_t startPoint = 0;
    00518     size_t dimMult = 1;
    00519     std::vector<size_t> incr(N);
    00520     for (size_t j = 0; j < N; ++j)
    00521     {
    00522        startPoint += dimMult*(firstVertex[j]-1);
    00523        incr[j] = dimMult;
    00524        dimMult *= static_cast<size_t>(naxes[j]);
    00525     }
    00526
    00527     size_t inDataPos = 0;
    00528     size_t iSub = 0;
    00529     loop(N-1, firstVertex, lastVertex, stride, startPoint, incr, inData, inDataPos, subIncr, subset, iSub);
    00530   }
    00531
    00532   template <typename T>
    00533   void Image<T>::loop (size_t iDim, const std::vector<long>& firstVertex, const std::vector<long>& lastVertex, const std::vector<long>& stride, size_t iPos, const std::vector<size_t>& incr, const std::valarray<T>& inData, size_t& iDat, const std::vector<size_t>& subIncr, std::valarray<T>& subset, size_t iSub)
    00534   {
    00535      size_t start = static_cast<size_t>(firstVertex[iDim]);
    00536      size_t stop = static_cast<size_t>(lastVertex[iDim]);
    00537      size_t skip = static_cast<size_t>(stride[iDim]);
    00538      if (iDim == 0)
    00539      {
    00540         size_t length = stop - start + 1;
    00541         for (size_t i=0; i<length; i+=skip)
    00542         {
    00543            subset[i+iSub] = inData[iDat++];
    00544         }
    00545      }
    00546      else
    00547      {
    00548         size_t jump = incr[iDim]*skip;
    00549         size_t subJump = subIncr[iDim]*skip;
    00550         for (size_t i=start; i<=stop; i+=skip)
    00551         {
    00552            loop(iDim-1, firstVertex, lastVertex, stride, iPos, incr, inData, iDat, subIncr, subset, iSub);
    00553            iPos += jump;
    00554            iSub += subJump;
    00555         }
    00556      }
    00557   }
    00558
    00559   template <typename T>
    00560   bool Image<T>::isNullValChanged(T* newNull) const
    00561   {
    00562      bool isChanged = false;
    00563      if (m_usingNullVal)
    00564      {
    00565         // If m_usingNullVal is true, we can assume m_lastNullVal != 0.
    00566         if (newNull)
    00567         {
    00568            T newVal = *newNull;
    00569            if (newVal != m_lastNullVal)
    00570               isChanged = true;
    00571         }
    00572         else
    00573            isChanged = true;
    00574      }
    00575      else
    00576      {
    00577         if (newNull && (*newNull != 0))
    00578            isChanged = true;
    00579      }
    00580
    00581      return isChanged;
    00582   }
    00583
    00584   template <typename T>
    00585   void Image<T>::setLastNullInfo(T* newNull)
    00586   {
    00587      if (!newNull || *newNull == 0)
    00588      {
    00589         m_usingNullVal = false;
    00590         m_lastNullVal = 0;
    00591      }
    00592      else
    00593      {
    00594         m_usingNullVal = true;
    00595         m_lastNullVal = *newNull;
    00596      }
    00597   }
    00598
    00599   template <typename T>
    00600   void Image<T>::writeImage (fitsfile* fPtr, const std::vector<long>& firstVertex, const std::vector<long>& lastVertex, const std::valarray<T>& inData, const std::vector<long>& naxes, long& newNaxisN)
    00601   {
    00602      std::vector<long> stride(firstVertex.size(), 1);
    00603      writeImage(fPtr, firstVertex, lastVertex, stride, inData, naxes, newNaxisN);
    00604   }
    00605
    00606   template <typename T>
    00607   void Image<T>::scalingHasChanged()
    00608   {
    00609      m_isRead = false;
    00610   }
    00611
    00612   template <typename T>
    00613   void Image<T>::resetRead()
    00614   {
    00615      m_isRead = false;
    00616   }
    00617
    00618   // Additional Declarations
    00619
    00620 } // namespace CCfits
    00621
    00622
    00623 #endif