Title :
Colour image coding by visually meaningful image patterns
Author :
Schaefer, G. ; Qiu, G.
Author_Institution :
Derby Univ., UK
Abstract :
Visually meaningful patterns (visual patterns) are a set of predefined image blocks representing information that the human visual system is very sensitive to. A colour image coding technique based on visual patterns is introduced. An image is divided into small blocks each of which is mapped to one of the visual patterns. Each block can then be represented by the pattern and by the colour information of that block. Colour quantisation and entropy coding are applied to achieve efficient coding. High compression ratios (35:1-70:1) have been achieved while maintaining good image quality, comparable to that of state-of-the-art techniques such as JPEG. In addition, the encoded images can be used in their compressed state in content based image retrieval systems based on colour and shape features
Keywords :
image colour analysis; colour features; colour image coding; colour information; colour quantisation; content based image retrieval systems; entropy coding; high compression ratio; human visual system; image quality; predefined image blocks; shape features; visual patterns; visually meaningful image patterns;
Conference_Titel :
Image Processing and Its Applications, 1999. Seventh International Conference on (Conf. Publ. No. 465)
Conference_Location :
Manchester
Print_ISBN :
0-85296-717-9
DOI :
10.1049/cp:19990390