Enhanced Multiple Transform for Video Coding

The Discrete Cosine Transform (DCT), and in particular the DCT type II, has been widely used for image and video compression. Although DCT efficiently approximates the optimal Karhunen-Loève transform under first-order Markov conditions with low complexity, the energy packing efficiency is still limited since a fixed transform cannot always capture the highly dynamic statistics of natural video content. In this paper, to further improve the transform efficiency, an Enhanced Multiple Transform (EMT) scheme is proposed. In the proposed EMT, a few sinusoidal transforms, other than DCT, have also been utilized for coding both Intra and Inter prediction residuals. The best transform, as selected from a pre-defined transform subset specified by prediction mode, is explicitly signaled in a joint coding block level manner. Moreover, to accelerate encoding process, fast methods have also been proposed by skipping unnecessary transform rate-distortion evaluations using previously encoding statistics. The proposed method has been implemented on top of High-Efficiency Video Coding (HEVC) reference software, and significant coding gain has been verified.