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

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.

Malvar_Sullivan_DCC2012.pdf
PDF file

In  Data Compression Conference

Publisher  Institute of Electrical and Electronics Engineers, Inc.
© 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Details

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