Research on Edge Adaptive Enhancement Method of Compressed Sensing Image
The edge details of the compressed sensing image are blurred due to the influence of compression processing in the storage process of the sensing image. Therefore,an adaptive edge enhancement method based on additive wavelet is proposed for the compressed sensing image. The compressed sensor image is denoised based on the Gaussian smoothing filtering algorithm. The denoised image is processed by adopting multi-scale additive wavelet fractal,and the low-frequency image is filtered by adopting morphological gradient to obtain the morphological gradient image. The edge is extracted by using modulus maximum method,and the high-frequency edge image is obtained by superimposing multi-layer edge information. The morphological gradient image and high-frequency edge image are trans-formed through the inverse additive wavelet transform,and the results of the inverse transform are binarized to obtain the edge image of the compressed sensing image to achieve adaptive edge enhancement. Subjective test results show that the proposed method can accu-rately enhance the edge of the compressed sensing image. The objective test results show that the average information entropy of the pro-posed method is 7.81,the average gradient is 7.89,and the contrast is 273.7. Therefore,more image edge details can be obtained.
万方数据
维普
