关键词: 图像增强, 小波Contourlet 变换, 人眼视觉, 边缘优化算法, 软阈值去噪算法

Abstract: Image is prone to interference problems in the transmission process. By studying the image
enhancement technology and comparative analysis, an image enhancement algorithm is proposed
combining with the threshold de-noising and edge optimization. The algorithm is based on the
Wavelet Contourlet transform and the inherent characteristics of the human visual. The decomposed
image coefficients are classified. The edge area signal is optimized by using the improved edges of
the gain factor optimization algorithm. The non-edge of the area is de-noised by improved soft
threshold de-noising algorithm. The experiments show the algorithm has the characteristics of high
accuracy and de-noising ability, and it can effectively protect edge signal while de-noising. The
experimental results are consistent with the expected target.

Key words: image enhancement, wavelet Contourlet conversion, human vision, edge optimization
algorithm, soft threshold de-noising algorithm