Simulation of Multi-resolution Image Bilateral Filtering Based on Transform Compromise Threshold
In order to effectively solve the problem of noise in multi-resolution images,this article put forward a bilateral filter algorithm for multi-resolution images based on visual acuity.Firstly,rough set theory was adopted to preliminarily determine the noise in multi-resolution images.Then,visual sensitivity was used to correct the judgment result.Meanwhile,the noisy image was divided into high and low-frequency parts by a Bilateral filter.In the high-frequency part,the compromise threshold of the Curvelet transform was used to retain more edge texture details in the multi-resolution image.Moreover,low-frequency images and high-frequency images were reconstructed to obtain the filtered multi-resolution images.Experimental results show that the proposed algorithm can accurately detect the noise in multi-resolution images and obtain satisfactory filtering results.
NETL
NSTL
万方数据
