搜索资源列表
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Adaptive noise removal filter for both grayscale and color images
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MEDIAN FILTER DESIGN FOR THE REMOVAL OF NOISE FROM HIGHLY CORRUPTED IMAGES
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渐进选择性中值滤波消除高密度脉冲噪声方法-Progressive Switching Median Filter for the Removal of Impulse Noise from Highly Corrupted Images(IEEECircuit 99)(PSMF 有程序)
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Zhou Wang&David Zhang的递进开关中值滤波的matlab实现-Progressive Switching Median Filter for the Removal of Impulse Noise from Highly Corrupted Images（Zhou Wang&David Zhang）
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This matlab code for removal of noise from images of rgb and grey type.
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This remote sensing image enhancement project. Which deals with image enhanement and noise removal from rsi images. It also uses different edge detection techniques for image enhancement-This is remote sensing image enhancement project. Which deals w
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Brain tumors are created by abnormal and uncontrolled cell division in brain itself. If the growth becomes more than 50 , then the patient is not able to recover. So the detection of brain tumor needs to be fast and accurate. The objective of this pa
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Noise estimator for SENSE MRI
The Maximum Spacing Noise Estimation in Single-coil Background MRI Data
Signal Dependent Noise Level Estimation
Fast Noise Estimation in Images
Detail Preserving Anosotropic Diffusion for Speckle Filtering (DPAD
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impulse noise removal-Progressive Switching Median Filter for the Removal of Impulse Noise Highly Corrupted Images.
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Progressive switching median filter for the removal of impulse noise highly corrupted images-Progressive switching median filter for the removal of impulse noise highly corrupted images
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code of median filter for noise removal gray scale images, a sample noisy image with salt & pepper noise attached for test-code of median filter for noise removal gray scale images, a sample noisy image with salt & pepper noise attached for test
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code of mean filter for noise removal gray scale images, a sample image with gaussian noise attached-code of mean filter for noise removal gray scale images, a sample image with gaussian noise attached
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Camera Noise Model-Based Motion Detection and
Blur Removal for Low-lighting Images with Moving
Objects
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Effective strip noise removal
for low-textured infrared images based on 1D guided filtering，校正
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