Fundamentals of digital image processing
Fundamentals of digital image processing
Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
IEEE Transactions on Computers
Dequantization Bias for JPEG Decompression
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
IEEE Transactions on Image Processing
Improving image quality for JPEG compression
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
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The Discrete Cosine Transform (DCT) is widely used in lossy image and video compression schemes such as JPEG and MPEG. In this paper we describe RD-OPT, an efficient algorithm for constructing DCT quantization tables with optimal rate-distortion tradeoffs for a given image. The algorithm uses DCT coefficient distribution statistics in a novel way and uses a dynamic programming strategy to produce optimal quantization tables over a wide range of rates and distortions. It can be used to compress images at any desired signal-to-noise ratio or compressed size.