Efficient quadtree coding of images and video
- 1 May 1994
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 3 (3) , 327-331
- https://doi.org/10.1109/83.287030
Abstract
The quadtree data structure is commonly used in image coding to decompose an image into separate spatial regions to adaptively identify the type of quantizer used in various regions of an image. The authors describe the theory needed to construct quadtree data structures that optimally allocate rate, given a set of quantizers. A Lagrange multiplier method finds these optimal rate allocations with no monotonicity restrictions. They use the theory to derive a new quadtree construction method that uses a stepwise search to find the overall optimal quadtree structure. The search can be driven with either actual measured quantizer performance or ensemble average predicted performance. They apply this theory to the design of a motion compensated interframe video coding system using a quadtree with vector quantization.Keywords
This publication has 15 references indexed in Scilit:
- Variable block-size image codingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Recursive optimal pruning with applications to tree structured vector quantizersIEEE Transactions on Image Processing, 1992
- Image compression with variable block size segmentationIEEE Transactions on Signal Processing, 1992
- Rate-distortion optimization for tree-structured source coding with multi-way node decisionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Efficient quadtree coding of images and videoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Tree-structured scene adaptive coderIEEE Transactions on Communications, 1990
- Optimal nonlinear interpolative vector quantizationIEEE Transactions on Communications, 1990
- Quad-Tree Product Vector Quantization Of ImagesPublished by SPIE-Intl Soc Optical Eng ,1989
- High-resolution quantization theory and the vector quantizer advantageIEEE Transactions on Information Theory, 1989
- Vector quantizationIEEE ASSP Magazine, 1984