Title :
Low bit rate image coding technique using human visual system model and homomorphic processing
Author :
Ho, L.K. ; Ng, T.S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
Abstract :
A low bit rate image coding scheme which incorporates the homomorphic property of an image, transform coding, vector quantization and the human visual system model is described. Experimental results indicate that reasonably good reconstructed images are obtained at around 0.2 to 0.25 bits per pixel dependent on the nature of the images.<>
Keywords :
discrete cosine transforms; encoding; image coding; image reconstruction; vector quantisation; visual perception; DCT; experimental results; homomorphic processing; homomorphic property; human visual system model; image reconstruction; low bit rate image coding; transform coding; vector quantization; Bit rate; Discrete cosine transforms; Filters; Humans; Image coding; Image reconstruction; Lighting; Quantization; Reflectivity; Visual system;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.328002
