Image Retrieval Based on Dominant Color and Texture Features in DCT Domain

Most of the existing Content Based Image Retrieval algorithms are implemented in spatial domain. In order to save the time in images decompression, a novel image retrieval based on DCT dominant color and texture features in compressed domain is proposed. The mean value and variance of the DCT coefficients in DCT sub-blocks are used to describe image features. The mean values of those DCT sub-blocks with smaller variances than the threshold are regarded as the dominant colors and used to construct the image index, and we extract the texture feature from the DCT sub-blocks with larger variance than the threshold. The experimental results demonstrate the algorithm has good performance.