Title :
An efficient weight optimization algorithm for image representation using nonorthogonal basis images
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Kowloon, Hong Kong
Abstract :
Though image coding techniques that employ subsets of nonorthogonal basis images chosen from two or more transform domains have been shown consistently to yield higher image quality than those based on one transform for a fixed compression ratio, they have not been widely employed due to their very high computational complexity of existing realization approaches. This paper presents a new realization approach for mixed-transform image representation. Computational complexity can be greatly reduced compared with existing approaches.
Keywords :
computational complexity; discrete cosine transforms; image coding; image representation; optimisation; transform coding; DCT; compression ratio; computational complexity reduction; discrete Haar transform; discrete cosine transform; efficient weight optimization algorithm; image coding; image quality; mixed-transform image representation; nonorthogonal basis images; transform domains; Computational complexity; Distortion; Image coding; Image quality; Image reconstruction; Image representation; Iterative algorithms; Matching pursuit algorithms; Signal processing algorithms; Two dimensional displays;
Journal_Title :
Signal Processing Letters, IEEE