Progressive Image Denoising Algorithm

	Progressive Image Denoising Algorithm
	Li Haiyang; Cao Weiguo; Li Shirui; Tao Kelu; Li Hua
	2017
发表期刊	Journal of System Simulation
ISSN	1004-731X
卷号	29 期号:2 页码:282
摘要	Currently almost all denoising algorithms are implemented by processing original noisy image itself simply, which could not enhance the performance further by combining original noisy image with the denoised image. To solve the problem, a framework of progressive image denoising method was proposed. The framework is based on the block matching and 3D collaborative filtering (BM3D) algorithm, which has the most remarkable denoising effect. It includes three layers and two fusions. Each layer is implemented by BM3D and denoises the fused image generated from the previous layers. Adequate statistical results show that under the same noise condition, our proposed method and another new algorithm can improve original BM3D on PSNR to different degrees, but ours has a better performance. As the noise increases, the performance improvement is more remarkable, which means that the proposed method can improve CT imaging quality and obtain good results.
关键词	三维块匹配非局部相似性图像融合渐进式
语种	英语
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/32260
专题	中国科学院计算技术研究所期刊论文_中文
作者单位	中国科学院计算技术研究所
第一作者单位	中国科学院计算技术研究所
推荐引用方式 GB/T 7714	Li Haiyang,Cao Weiguo,Li Shirui,et al. Progressive Image Denoising Algorithm[J]. Journal of System Simulation,2017,29(2):282.
APA	Li Haiyang,Cao Weiguo,Li Shirui,Tao Kelu,&Li Hua.(2017).Progressive Image Denoising Algorithm.Journal of System Simulation,29(2),282.
MLA	Li Haiyang,et al."Progressive Image Denoising Algorithm".Journal of System Simulation 29.2(2017):282.