Power efficient 2-D rounded cosine transform with adder compressors for image compression

This work proposes a dedicated hardware design for 2-D Rounded Cosine Transform (RCT), using efficient adder compressors, and discusses comparisons with Discrete Cosine Transform (DCT). The RCT is an approximation of the cosine function, whose resultant matrix is only composed of 0 and 1 values. Therefore, the RCT can be easily implemented by using only adders/subtractors. In this work, we use combinations of efficient 4-2, 6-2 and 8-2 adder compressors for the RCT implementation. The RCT performance combined with its lower computational complexity makes this transform an excellent choice for a dedicated hardware for image compression. We present an environment, whose synthesis reports are based on a set of true images as input vectors in order to obtain valid power results. The results show that the RCT hardware solution with adder compressors minimizes both cells area and power consumption with good overall quality images.