A Discrete Tchebichef Transform Approximation for Image and Video Coding
This work addresses efficiency improvements for image and video coding systems, particularly in hardware implementations, but is incremental as it builds on existing transform methods.
The paper tackles the problem of high computational complexity in image and video coding by introducing a low-complexity approximation for the discrete Tchebichef transform, resulting in a 44.9% reduction in dynamic power consumption and 64.7% lower area in FPGA hardware compared to existing methods.
In this paper, we introduce a low-complexity approximation for the discrete Tchebichef transform (DTT). The proposed forward and inverse transforms are multiplication-free and require a reduced number of additions and bit-shifting operations. Numerical compression simulations demonstrate the efficiency of the proposed transform for image and video coding. Furthermore, Xilinx Virtex-6 FPGA based hardware realization shows 44.9% reduction in dynamic power consumption and 64.7% lower area when compared to the literature.