In the field of image compression, the traditional JPEG encoding uses a lot of multiplication operations in the discrete cosine transform and quantization. In order to reduce the computational complexity and meet the real-time requirements of the system, a low-complexity 8*8 orthogonal transformation matrix is proposed for low-bit-rate image compression, which only contains 0 and 1, without multiplication and shift operations. In addition, an approximate quantization table is designed to replace the traditional quantization table, in which addition and multiplication are not required, only shift operations are required. The results show that the image quality obtained by approximate quantization is basically the same as that of standard quantization, and the proposed coding framework can also be implemented on FPGA.
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