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template<typename PixelT > |
int | applyLookupTable (afw::image::Image< PixelT > &image, ndarray::Array< PixelT, 1, 1 > const &table, PixelT indOffset) |
| Add the values in a lookup table to an image, e.g. More...
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template<typename PixelT > |
size_t | maskNans (afw::image::MaskedImage< PixelT > const &mi, afw::image::MaskPixel maskVal, afw::image::MaskPixel allow=0) |
| Mask NANs in an image. More...
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template<typename ImagePixelT > |
std::vector< double > | fitOverscanImage (lsst::afw::image::MaskedImage< ImagePixelT > const &overscan, std::vector< std::string > badPixelMask, bool isTransposed) |
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template int | applyLookupTable< float > (afw::image::Image< float > &, ndarray::Array< float, 1, 1 > const &, float) |
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template int | applyLookupTable< double > (afw::image::Image< double > &, ndarray::Array< double, 1, 1 > const &, double) |
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std::string | between (std::string &s, char ldelim, char rdelim) |
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template std::vector< double > | fitOverscanImage< int > (afw::image::MaskedImage< int > const &, std::vector< std::string > badPixelMask, bool isTransposed) |
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template std::vector< double > | fitOverscanImage< float > (afw::image::MaskedImage< float > const &, std::vector< std::string > badPixelMask, bool isTransposed) |
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template std::vector< double > | fitOverscanImage< double > (afw::image::MaskedImage< double > const &, std::vector< std::string > badPixelMask, bool isTransposed) |
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template size_t | maskNans< float > (afw::image::MaskedImage< float > const &, afw::image::MaskPixel, afw::image::MaskPixel) |
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template size_t | maskNans< double > (afw::image::MaskedImage< double > const &, afw::image::MaskPixel, afw::image::MaskPixel) |
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template size_t | maskNans< int > (afw::image::MaskedImage< int > const &, afw::image::MaskPixel, afw::image::MaskPixel) |
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template<typename PixelT >
int lsst::ip::isr::applyLookupTable |
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afw::image::Image< PixelT > & |
image, |
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ndarray::Array< PixelT, 1, 1 > const & |
table, |
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PixelT |
indOffset |
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Add the values in a lookup table to an image, e.g.
for non-linearity correction
The algorithm is as follows: numOutOfRange = 0 For each i,j of the image: lookupInd = int(indOffset + image[i,j]) if lookupInd not in range [0, table.size() - 1]: set lookupInd to nearest edge and increment numOutOfRange image[i,j] += table[lookupInd] return numOutOfRange
- Parameters
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[in,out] | image | image to which to add the values; modified in place |
[in] | table | lookup table |
[in] | indOffset | scalar added to image value before truncating to lookup column |
- Returns
- the number of pixels whose values were out of range
Definition at line 35 of file applyLookupTable.cc.