Pattern colour separable image coding for content based indexing

A colour image coding system based un the pattern colour separable (PCS) thrury 121 of human colour vision is developed. The PCS image coding system codes an image using three separate channels: panern. culour and .strength. The pattern channel corresponds to the visual pathway that is sensitive to spatial frequency information, the colour channel corresponds to the visual pathway that is sensitive tu the colour information and the strength channel corresponds to the visual pathway that is sensitive to the strength of the visual stimulus. Decoding of the image is based on a neural network trained in a self-organizing manner. Compression petiormances of the system are shown to be very guud. Query by image contents is a successful approach to image database indexing and retrieval. Because image data take up huge amount of storage space and network bandwidth. compressing image is a standard practice. Given that images are compressed/coded in a database, it would be more efficient if the compressed data can also he diredly used as indices for content-based query. We shall show that cuntents (shapes and colours) of the images are embedded in the compressed data of the PCS system and therefore can he readily and efficiently used as indices for content based image indexing.