DocumentCode :
3479382
Title :
Still image coding using a wavelet-like transform
Author :
Maalouf, Aldo ; Larabi, Mohamed-Chaker ; Fernandez-Maloigne, Christine
Author_Institution :
XLIM-SIC Lab., Univ. of Poitiers, Poitiers, France
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
1893
Lastpage :
1896
Abstract :
In this paper, a new image coding scheme based on a wavelet-like transform derived from orthogonal polynomial basis is presented. From a set of bivariate orthogonal polynomial functions, we first obtain the 2D non-separable wavelet functions to propose a wavelet-like transform coding. The motivation behind using orthogonal polynomials is that they exhibit some properties related to the human visual system (HVS). After applying the proposed transformation, the transform coefficients are threshold coded using quantization and bit allocation as in JPEG baseline system. The performance of the proposed transform coding is reported. The proposed coding scheme is also compared with other transform coding methods such as JPEG, JPEG 2000 and JPEG-XR/HDPHOTO.
Keywords :
image coding; polynomials; transform coding; wavelet transforms; 2D nonseparable wavelet functions; JPEG baseline system; bit allocation; bivariate orthogonal polynomial functions; human visual system; orthogonal polynomial basis; quantization; still image coding; wavelet-like transform; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Frequency; Image coding; Image reconstruction; Polynomials; Quantization; Transform coding; Wavelet transforms; Image compression; transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413676
Filename :
5413676
Link To Document :
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