Hierarchical visual perception and two-dimensional compressive sensing for effective content-based color image retrieval

Background Although content-based image retrieval (CBIR) has been an active research theme in the computer vision community for over two decades, there are still challenging problems in properly understanding the process in feature extraction and image matching. Consequently, significant research is still required to develop solutions for practical applications, especially in exploring and making the best using of the cognitive aspects of the human vision system.