DocumentCode :
590306
Title :
The hierarchical signal dependent transform: Creating orthonormal basis that match local signal characteristics
Author :
Testoni, Vanessa ; Costa, M.H.M. ; Fiorencio, Dinei
Author_Institution :
ECE, Univ. of California at San Diego, La Jolla, CA, USA
fYear :
2012
fDate :
27-30 Nov. 2012
Firstpage :
1
Lastpage :
6
Abstract :
Hierarchical transforms are widely used in image and video coding to produce multilevel decomposition of signals. After applying these transforms, same level signals are typically uncorrelated. However, there is often still significant cross level information. Traditionally, this cross-level information is exploited at the entropy coding step, but not at the transform step. The main contribution of this work is an energy compaction technique/transform that can also exploit these cross-resolution-level structural similarities. The core idea of the technique is to include in the hierarchical transform a number of adaptive basis functions derived from the lower resolution of the signal. A full image codec was developed in order to measure the performance of the new transform. Results are presented in terms of transform coding gain, energy concentration and distortion versus rate curves compared with standard JPEG, JPEG 2000 and JPEG XR.
Keywords :
entropy codes; image matching; image resolution; transforms; video coding; JPEG XR; JPEG2000; adaptive basis functions; cross level information; cross-resolution-level structural similarity; energy compaction technique; energy concentration; entropy coding step; full image codec; hierarchical signal dependent transform; image coding; local signal characteristic matching; multilevel signal decomposition; rate curves; signal resolution; video coding; Codecs; Correlation; Discrete cosine transforms; Image resolution; Transform coding; Vectors; Hierarchical block-based transform; Image coding; Signal dependent transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-4405-0
Electronic_ISBN :
978-1-4673-4406-7
Type :
conf
DOI :
10.1109/VCIP.2012.6410820
Filename :
6410820
Link To Document :
بازگشت