Truncated graycoded bit-plane matching based motion estimation and its hardware architecture

This paper proposes an efficient low bit-depth representation based motion estimation approach which is particularly suitable for low-power consumer electronics devices. In the proposed approach motion estimation is carried out using bit truncated gray-coded image pixels. The corresponding hardware architecture is also designed and presented in this paper to show the effectiveness of the proposed approach. It is shown that the proposed approach provides improved motion estimation accuracy compared to conventional bit-truncation based approaches that are directly applied to binary coded pixel values. The proposed approach uses simple Gray-coding, that has very low-complexity and can be applied on a pixel-by-pixel basis. Hence, the comparatively more complex transformation processes required in one bit-transform or two-bit transform based low bit-depth representation ME approaches are avoided. Experimental results show that the proposed approach also outperforms such low bit-depth representation based motion estimation methods previously presented in the literature, in terms of motion estimation accuracy.