Description: Retinex算法源代码，用于图像增强，是一种比较新的算法，对低对比度的图像有很大效果-Retinex algorithm source code for image enhancement, is a relatively new algorithm, the low contrast images have great effect Platform: |
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Author:dadi |
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Description: Retinex算法源代码，用于图像增强，是一种比较新的算法，对低对比度的图像有很大效果-Retinex algorithm source code for image enhancement, is a relatively new algorithm, the low contrast images have great effect Platform: |
Size: 1024 |
Author:dadi |
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Description: Retinex算法对较暗区域的图像处
理有明显效果,改进的Retinex方法则是基于经典Retinex,对具有较高亮度的遥感图像通过图像变
换方法达到去除模糊的目的。
-Retinex algorithm for image processing on the dark region was effective to improve the Retinex method is based on the classic Retinex, on remote sensing images with high brightness achieved by an image transformation method aims to remove ambiguity. Platform: |
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Author:kaiser |
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Description: “retinex_frankle_mccann”算法，包括算法介绍（硕士论文）和具体实现代码，适合初学者-" Retinex_frankle_mccann" algorithms, including algorithms described (Master‘s thesis) and the specific implementation code, suitable for beginners Platform: |
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Author:王鹏 |
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Description: RETINEX_FRANKLE_McCANN:
Computes the raw Retinex output from an intensity image, based on the
original model described in:
Frankle, J. and McCann, J., "Method and Apparatus for Lightness Imaging"
US Patent #4,384,336, May 17, 1983- RETINEX_FRANKLE_McCANN:
Computes the raw Retinex output from an intensity image, based on the
original model described in:
Frankle, J. and McCann, J., "Method and Apparatus for Lightness Imaging"
US Patent#4,384,336, May 17, 1983 Platform: |
Size: 1024 |
Author:xie |
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Description: Frankle和McCann提出的Retinex算法，去除光照阴影效果很好。-Frankle and McCann Retinex algorithm is proposed to remove the light shadow effect is very good. Platform: |
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Author:gdfdg |
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Description: 基于色彩恒常（ color constancy）特性的Frankle-McCann Retinex图像增强。-Many different descriptions of retinex methods of lightness computation exist. This paper provides concise MATLAB implementations of two of the spatial techniques of making pixel comparisons. The code is presented along with test results on several images and a discussion of the results. The paper also discusses the calibration of input images and the post-retinex processing required to display the output images. Platform: |
Size: 1024 |
Author:梁清华 |
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