HIGH DYNAMIC RANGE AND TONE MAPPING IMAGING TECHNIQUES
First Claim
1. A computer-implemented method for improving the quality of an image, comprising:
- receiving an input image;
utilizing a tone mapping operator (TMO) having one or more operational parameters to tone map the input image and create a first tone-mapped image;
generating a contrast waste score for the first tone-mapped image;
generating a contrast loss score for the first tone-mapped image;
with a computer, automatically utilizing the contrast waste score and the contrast loss score to tune one or more of the operational parameters of the TMO; and
utilizing the TMO with the one or more tuned operational parameters to generate a second tone-mapped image from the input image.
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Abstract
Algorithms for improving the performance of conventional tone mapping operators (TMO) by calculating both a contrast waste score and a contrast loss score for a first tone-mapped image produced by the TMO. The two contrast scores can be used to optimize the performance of the TMO by reducing noise and improving contrast. Algorithms for generating an HDR image by converting non-linear color space images into linear color space format, aligning the images to a reference, de-ghosting the aligned images if necessary, and merging the aligned (and potentially de-ghosted) images to create an HDR image. The merging can be performed with exposure fusion, HDR reconstruction, or other suitable techniques.
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Citations
22 Claims
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1. A computer-implemented method for improving the quality of an image, comprising:
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receiving an input image; utilizing a tone mapping operator (TMO) having one or more operational parameters to tone map the input image and create a first tone-mapped image; generating a contrast waste score for the first tone-mapped image; generating a contrast loss score for the first tone-mapped image; with a computer, automatically utilizing the contrast waste score and the contrast loss score to tune one or more of the operational parameters of the TMO; and utilizing the TMO with the one or more tuned operational parameters to generate a second tone-mapped image from the input image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer-implemented method for generating an HDR image from a plurality of input images, comprising:
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if one or more of the input images are not in a linear color space format, converting those to linear color space format; aligning the linear color space images to a reference; and merging the aligned images to create an HDR image. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A computer-implemented method for generating an HDR image from a plurality of input images, comprising:
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if one or more of the input images are not in a linear color space format, converting those to linear color space format; for the case where the input images included linear color space images, performing a sharpening operation; aligning the linear color space images to a reference; and merging the aligned images to create an HDR image, the merging including reconstructing the images by transforming the images to a common scale by applying the inverse of the camera response. - View Dependent Claims (22)
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Specification