Dr. Dobb's Journal
Introduction to data compression (2nd ed.)
Introduction to data compression (2nd ed.)
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Computer Architecture: A Quantitative Approach
Computer Architecture: A Quantitative Approach
Novel word-level algorithm of embedded block coding in JPEG 2000
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
The RIM framework for image processing
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Compression of map images by multilayer context tree modeling
IEEE Transactions on Image Processing
Analysis and architecture design of block-coding engine for EBCOT in JPEG 2000
IEEE Transactions on Circuits and Systems for Video Technology
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
Influence of the number and pattern of geometrical entities in the image upon PNG format image size
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
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Many low bit-depth images are compactly expressed in terms of runlength-based representations. This paper discusses methods for processing such images directly in runlength-represented form and how this can improve processing times for image processing operations. The primary focus in the analysis is on image compression operations, but an explanation of the overall scheme for runlength-based processing is also presented. Tradeoffs between processing times and compression ratio for runlength-based image compression algorithms are discussed. Sketches of runlength-based compression algorithms for some widely used image standards are given, and the algorithms are compared with raster-based counterparts. Important design features needed in implementations of runlength-based image processing are discussed. The main application areas of runlength-based image processing are also explained.