Progressive-to-Lossless Compression of Color-Filter-Array Images Using Macropixel Spectral-Spatial Transformation

Henrique S. Malvar and Gary J. Sullivan

Abstract

We present a low-complexity integer-reversible spectral-spatial transform that allows for efficient lossless and lossy compression of color-filter-array images (also referred to as camera-raw images). The main advantage of this new transform is that it maps the pixel array values into a format that can be directly compressed in a lossless, lossy, or progressive-to-lossless manner by an existing typical image coder such as JPEG 2000 or JPEG XR. Thus, no special codec design is needed for compressing the camera-raw data. Another advantage is that the new transform allows for mild compression of camera-raw data in a near-lossless format, allowing for very high quality offline post-processing, but with camera-raw files that can be half the size of those of existing camera-raw formats.

Details

Publication typeInproceedings
Published inData Compression Conference
PublisherInstitute of Electrical and Electronics Engineers, Inc.
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