Human Visual Characteristics Inspired Adaptive Image Quantization Method

摘要

Combined with human visual characteristics, this paper proposes an adaptive image quantization method using pulse coupled neural networks (PCNN). It is acknowledged that PCNN satisfies human visual characteristics which can be used to quantize images. We have been trying to obtain the optimal image quantized with minimum amount of data for a long time and finally discover that the proposed algorithm comes up to the expected standard. First, the gray scale image is imported into PCNN and then the parameters of PCNN are set automatically. Secondly, the image is quantized by the hand of proposed algorithm. The experimental results of the gray natural images from the standard image library prove the validity and efficiency of our proposed quantization method.