@inproceedings{118d9b84b13c42a6aff07d6691604b04,
title = "Non-local means denoising algorithm accelerated by GPU",
abstract = "On the basis of studying Non-Local Means (NLM) denoising algorithm and its pixel-wise processing algorithm in Graphics Processing Unit (GPU), a whole image accumulation algorithm of NLM denoising algorithm based on GPU is proposed. The number of dynamic instructions of fragment shader is effectively reduced by redesigning the data structure and processing flow, that make the algorithm suitable to the graphic cards supported Shader Model 3.0 and/or Shader Model 4.0, and so enhance the versatility of the algorithm. Then the continuous and parallel processing method for 4 gray images based on Multiple Render Target (MRT) and double Frame Buffer Object (FBO) is proposed, and the whole processing flow with GPU is presented. The experimental results of both simulative and practical gray images show that the proposed method can achieve a speedup of 45 times while remaining the same accuracy.",
keywords = "GPU, Image denoising, Non-local means, Parallel",
author = "Kuidong Huang and Dinghua Zhang and Kai Wang",
year = "2009",
doi = "10.1117/12.833025",
language = "英语",
isbn = "9780819478085",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "MIPPR 2009 - Medical Imaging, Parallel Processing of Images, and Optimization Techniques",
note = "MIPPR 2009 - Medical Imaging, Parallel Processing of Images, and Optimization Techniques: 6th International Symposium on Multispectral Image Processing and Pattern Recognition ; Conference date: 30-10-2009 Through 01-11-2009",
}