多尺度视网膜彩色图像恢复增强算法

L. Nian, Peng Xiuyuan
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引用次数: 3

摘要

为了提高彩色图像识别的分类质量,在彩色图像预处理过程中必须去除噪声以提高颜色的不变性,压缩图像动态范围以提高图像的平衡性,有效地显示阴影和光线区域的细节。从空域图像增强入手,阐述了多尺度retinex的原理,首先利用多尺度retinex实现对灰度图像的增强,并详细描述了图像增强的方法和参数。然后采用多尺度视网膜颜色检索算法实现图像的颜色检索。在vc++软件中进行了仿真,对图像进行了改善,同时对噪声进行了控制。仿真结果表明了该算法的有效性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiscale retinex color image recovery enhancement algorithm
To improve the quality of classification in color image recognition, during the pretreatment of color image it must be removed the noise to improve the invariance of color, compress image dynamic range to improve balance, effectively showed the details in shadow and light area. Begin with enhancing image in airspace, describes the theory of multiscale retinex, multiscale retinex was used to realize enhancing of grey image firstly, and the method and parameters of image enhancing was described in detail. Then multiscale retinex color retrieval algorithm was used to realize color retrieval of image. A emulational example was carried on in vc++ software, the image was improved, at the same time the noise was controlled. A emulational example is given to illustrate the efficiency and the practicability of the algorithm.
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