
Summary: We examine color quantization of images using trellis-coded quantization (TCQ) in both the RGB domain and YUV domain. Together with a simple dithering scheme, an eight-bit trellis-coded color quantizer reproduces images that are visually indistinguishable from the 24-bit originals. It can be viewed as a predictive trellis-coded color quantization scheme. We also study trellis-coded vector quantization (TCVQ) for color quantization. Our proposed TCQ-based color quantization schemes are universal in the sense that no training or look-up table is needed. The complexity of TCQ is linear with respect to image size, making trellis-coded color quantization suitable for color printing, real-time interactive graphics and window-based display environment.
Computing methodologies and applications, Computing methodologies for image processing, Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science)
Computing methodologies and applications, Computing methodologies for image processing, Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science)
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