Adaptive color subsampling of images

Anil M. Murching; John W. Woods

doi:10.1117/12.157876

22 October 1993 Adaptive color subsampling of images

Anil M. Murching, John W. Woods

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157876
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

New methods for the subsampling of color images are presented. A block-based orthogonalizing transform is used to represent the RGB image in an efficient domain. This transformation offers substantial advantages when preceded by a segmentation of the image based on chrominance content. An adaptive scheme, based on a threshold test on the local variance, is proposed for subsampling the resulting chrominance-related components. The proposed subsampling scheme outperforms conventional methods based on transforms such as the YC_RC_B, in terms of an improved quality versus sample-rate (or bit-rate) trade-off. It is possible to achieve 4:4:4 quality at near 4:2:0 rates. A block-based strategy to code the resulting color image components is also presented, which is based on the JPEG Baseline method.

Citation Download Citation

Anil M. Murching and John W. Woods "Adaptive color subsampling of images", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157876

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