gimp-cuda-plugin

所属分类:GPU/显卡
开发工具:Cuda
文件大小:39KB
下载次数:0
上传日期:2019-01-04 09:53:48
上 传 者sh-1993
说明:  使用CUDA的Gimp插件:多分辨率梯度自适应滤波器
(Gimp Plugin using CUDA: Multiresolution Gradient Adaptive Filter)

文件列表:
AUTHORS (46, 2019-01-04)
CMakeLists.txt (1426, 2019-01-04)
COPYING (35147, 2019-01-04)
INSTALL (1135, 2019-01-04)
defines_cpu.hpp (1157, 2019-01-04)
defines_gpu.hpp (1005, 2019-01-04)
doc (0, 2019-01-04)
doc\decompose.eps (6309, 2019-01-04)
doc\mrfilt.eps (13557, 2019-01-04)
doc\reconstruct.eps (5470, 2019-01-04)
gimp_gui.cpp (6584, 2019-01-04)
gimp_gui.hpp (946, 2019-01-04)
gimp_main.cpp (7383, 2019-01-04)
gimp_main.hpp (1335, 2019-01-04)
multi_res_cpu.cpp (14790, 2019-01-04)
multi_res_cpu.hpp (1072, 2019-01-04)
multi_res_device.cu (14654, 2019-01-04)
multi_res_host.cu (23474, 2019-01-04)
multi_res_host.hpp (1109, 2019-01-04)

Gimp Plugin: Multiresolution gradient adaptive filter ===================================================== The gimp plugin implements a multiresolution gradient adaptive filter, as described in [1], however the filter kernel was replaced by a bilateral filter, as described in [2]. The major advantage of this filter is the fact that the filter preserves edges while noise is removed. The multiresolution filter consists of 3 major steps (see also doc/mrfilt.eps): 1. Decompose: the gaussian (g0) and laplace (l0) pyramid are constructed 2. Filter: the bilateral filter (f0) gets applied to the laplace pyramid 3. Reconstruct: the output image (r0) is reconstructed from the filted data The multiresolution filter operates on gray-scale images and requires the image resolution to be a power of 2. In case that the image doesn't fulfill this requirement, the image is padded with mirrored pixel values. The multiresolution filter works on 5 stages and the parameters for the bilateral filter kernel can be adjusted (see also: INSTALL file). --- [1] D. Kunz, K. Eck, H. Fillbrandt, and T. Aach. Nonlinear multiresolution gradient adaptive filter for medical images. Proceedings of SPIE, 5032:732, 2003. [2] C. Tomasi and R. Manduchi. Bilateral ltering for gray and color images. Proceedings of the Sixth International Conference on Computer Vision, page 839, 19***.

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