Image can be encoded and decoded by ODBTC. Here we introduce a new quantization method for HVS (Human Visual System) to the image to feat the low-difficulty in ordered-dither block truncation coding to provide image content descriptor. In the perceptual quantization method an image block compresses into consistent quantizers and bitmap image. The color co-occurrence feature (CCF) and bit pattern features (BPF) of an image can be given by quantizes and bitmap, of the existing one respectively, by involving the visual codebook. As the results gives as that the proposed scheme is prior to the block truncation coding image retrieval and the other previous methods, proves that the ODBTC scheme is not only for image compression, it used also for decompression, it also gives as a simple and effective descriptor to index images in CBIR system. The quantization method used here will increase the image quality.