Progressive Image Denoising Algorithm
文献类型：期刊论文
| 作者 | Li Haiyang; Cao Weiguo; Li Shirui; Tao Kelu; Li Hua |
| 刊名 | Journal of System Simulation
 |
| 出版日期 | 2017 |
| 卷号 | 29期号:2页码:282 |
| 关键词 | 三维块匹配 非局部相似性 图像融合 渐进式 |
| ISSN号 | 1004-731X |
| 英文摘要 | 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. |
| 语种 | 英语 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/32259]  |
| 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 |
| 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. |
入库方式： OAI收割
来源：计算技术研究所
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