Compound image compression by multi-stage prediction

Abstract

Computer generated compound images contain not only photographic images but also text and graphics images, which makes it difficult to be efficiently compressed using exiting image and video coding standards. This paper presents a new compound image coding scheme based on the intra coding framework of the upcoming high efficiency video coding (HEVC) standard. The proposed scheme first decomposes the compound image into color components and structure components. Then two-stage prediction scheme is employed to exploit the correlation among structure components, where the first prediction is generated by directional prediction and second prediction is generated by template matching. Experimental results show that the proposed scheme achieves up to 10.2 dB coding gain on compound images compared with HEVC. And on average it achieves 42.2 percent bitrate saving compared with HEVC.