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» Effective Multiple Vector Quantization for Image Compression
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SIGGRAPH
1996
ACM
15 years 1 months ago
Rendering from Compressed Textures
We present a simple method for rendering directly from compressed textures in hardware and software rendering systems. Textures are compressed using a vector quantization (VQ) met...
Andrew C. Beers, Maneesh Agrawala, Navin Chaddha
ISM
2008
IEEE
161views Multimedia» more  ISM 2008»
15 years 3 months ago
Deblocking of Block-Transform Compressed Images Using Phase-Adaptive Shifted Thresholding
Many popular image compression schemes are based on block-transform coding, a technique where images are broken into small blocks of pixels prior to transformation and compression...
Alexander Wong, William Bishop
ICASSP
2011
IEEE
14 years 1 months ago
Image editing based on Sparse Matrix-Vector multiplication
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
Ying Wang, Hongping Yan, Chunhong Pan, Shiming Xia...
ICIP
2003
IEEE
15 years 11 months ago
Reversible integer KLT for progressive-to-lossless compression of multiple component images
In this paper, we presented a method for integer reversible implementation of KLT for multiple component image compression. The progressive-to-lossless compression algorithm emplo...
P. Hao, Q. Shi
ICMCS
2007
IEEE
105views Multimedia» more  ICMCS 2007»
15 years 3 months ago
A New Energy Function for Segmentation and Compression
We propose a new DCT-based energy function EDCT for objectoriented segmentation and compression. By minimizing EDCT the best possible split of the image blocks can be found which ...
M. King, Zinovi Tauber, Ze-Nian Li