IEEE Transactions on Signal Processing · 1992 · 201 citations · 31 references
Important RegionsLossy CompressionImage AnalysisMachine VisionOriginal ImageEngineeringPattern RecognitionImage-based ModelingQuadtree Data StructureImage CodingImage CompressionImage MosaicingComputational ImagingTexture AnalysisComputer ScienceChain CodeMedical Image ComputingComputer Vision
High-quality variable-rate image compression is achieved by segmenting an image into regions of different sizes, classifying each region into one of several perceptually distinct categories, and using a distinct coding procedure for each category. Segmentation is performed with a quadtree data structure by isolating the perceptually more important areas of the image into small regions and separately identifying larger random texture blocks. Since the important regions have been isolated, the remaining parts of the image can be coded at a lower rate than would be otherwise possible. High-quality coding results are achieved at rates between 0.35 and 0.7 b/p depending on the nature of the original image, and satisfactory results have been obtained at 0.25 b/p.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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An Algorithm for Vector Quantizer Design
Y. Linde, A. Buzo, Robert M. Gray · IEEE Transactions on Communications · 1980 · 7.2K citations
Image Analysis and Mathematical Morphology.
P. J. Diggle, J. Serra · Biometrics · 1983 · 3.9K citations
Second-generation image-coding techniques
M. Kunt, A. Ikonomopoulos, M. Kocher · Proceedings of the IEEE · 1985 · 644 citations