Title :
On the compression of still images using the derivative of Gaussian transform
Author :
Bloom, Jeflrey A. ; Reed, Todd R.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
Abstract :
The derivative of Gaussian transform was introduced by the authors as a technique to locally represent image frequency information using functions which have also been used to model certain aspects of human vision. This paper presents the application of this transform to still image compression. A set of basis selection criteria are used in order to minimize the leakage and edge artifacts which can be introduced by quantization of the transform coefficients. A quantization mask is derived which is based on a model of the contrast sensitivity function of the human visual system and is appropriately extended for the DGT basis functions
Keywords :
Gaussian processes; data compression; image coding; image representation; quantisation (signal); transform coding; transforms; visual perception; DGT basis functions; contrast sensitivity function; derivative of Gaussian transform; edge artifacts; human vision model; human visual system; image frequency information representation; leakage minimization; quantization; quantization mask; still image compression; transform coefficients; Application software; Compression algorithms; Decoding; Discrete transforms; Equations; Frequency; Humans; Image coding; Least squares approximation; Quantization; Transform coding; Visual system;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.727231
