2002Unpublished venueRequires access

Effect of coefficient coding on JPEG baseline image compression

Min-Kuan Chang, Glen G. Langdon

Open publisher page 2 citations

Abstract

Summary form only given. This work uses the example quantization table described in the JPEG drafts as the basis for comparing the amount of compression attributable to each of several distinct lossless compression techniques. It takes the JPEG algorithm apart into its constituent pieces. The result shows that most of the JPEG compression performance is achieved from coefficient quantization that replaces coefficient values comprising many bits with values of few bits. Additional compression is achieved by a combination of runlength coding, predictive coding, and either Huffman or arithmetic coding.>

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What this paper is about

Summary form only given. This work uses the example quantization table described in the JPEG drafts as the basis for comparing the amount of compression attributable to each of several distinct lossless compression techniques. It takes the JPEG algorithm apart into its constituent pieces. The result shows that most of the JPEG compression performance is achieved from coefficient quantization that replaces coefficient values comprising many bits with values of few bits. Additional compression is achieved by a combination of runlength coding, predictive coding, and either Huffman or arithmetic coding.>

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Summary form only given. This work uses the example quantization table described in the JPEG drafts as the basis for comparing the amount of compression attributable to each of several distinct lossless compression techniques. It takes the JPEG algorithm apart into its constituent pieces. The result shows that most of the JPEG compression performance is achieved from coefficient quantization that replaces coefficient values comprising many bits with values of few bits. Additional compression is achieved by a combination of runlength coding, predictive coding, and either Huffman or arithmetic coding.>

Key concepts: Huffman coding, Lossless JPEG, JPEG, Lossless compression, Quantization (signal processing), JPEG 2000, Data compression, Arithmetic coding

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