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Content Provider | IEEE Xplore Digital Library |
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Author | Malvar, H.S. Sullivan, G.J. |
Copyright Year | 2012 |
Abstract | We present a low-complexity integer-reversible spectral-spatial transform that allows for efficient loss less 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 loss less, lossy, or progressive-to-loss less 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-loss less 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. |
Starting Page | 3 |
Ending Page | 12 |
File Size | 429707 |
Page Count | 10 |
File Format | |
ISBN | 9781467307154 |
ISSN | 10680314 |
DOI | 10.1109/DCC.2012.8 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-04-10 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image coding Image color analysis Transforms Transform coding Cameras Encoding Arrays JPEG XR image coding raw image coding color transforms JPEG 2000 |
Content Type | Text |
Resource Type | Article |
Subject | Computer Networks and Communications |
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