MATLAB PROJECT
Efficient Chroma
Sub-Sampling and Luma Modification for Color Image Compression
Abstract:
In color image compression, the chroma components are often sub-sampled
before compression and up-sampled after compression. Although sub-sampling the chroma
components saves the bit-cost for compression, it often induces extra color
distortions in the compressed images. In this paper, we propose two approaches
to tackle this problem. First, we propose a sub-sampling method in the
transform domain and apply it to both chroma components. Then, based on this
sub-sampling, we propose a novel method to modify the luma component. In our
proposed luma modification algorithm, the distortions that occurred in the two
chroma components can be coupled together and utilized to modify the luma
component. With our proposed chroma sub-sampling and luma modification
algorithms, we can achieve a low RGB distortion in practical image coding. The
experimental results demonstrate that our proposed methods offer more significant
coding gains compared with the state-of-the-art methods for the compression of
color images.
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