Title :
Visually optimal DCT quantization matrices for individual images
Author :
Watson, Andrew B.
Author_Institution :
NASA Ames Res. Center, Moffett Field, CA, USA
Abstract :
A custom quantization matrix tailored to a particular image is designed by an image-dependent perceptual method incorporating solutions to the problems of luminance and contrast masking, error pooling and quality selectability
Keywords :
discrete cosine transforms; image coding; iterative methods; visual perception; DCT quantization matrices; contrast masking; error pooling; image-dependent perceptual method; luminance masking; perceptual error model; quality selectability; Bit rate; Discrete cosine transforms; Displays; Frequency; Government; Image coding; NASA; Protection; Quantization; Transform coding;
Conference_Titel :
Data Compression Conference, 1993. DCC '93.
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-3392-1
DOI :
10.1109/DCC.1993.253132
