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Brightness preserving and non-parametric modified bi-histogram equalization for image enhancement

机译:保留亮度和非参数修正的双直方图均衡以增强图像

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This paper presents a new image enhancement method by histogram equalization called Brightness Preserving and Non-parametric Modified Bi-histogram Equalization (BPNMBHE). Our method consists of three steps: (i) The input original image is divided into two sub images using the average intensity value. (ii) We use the histogram modification technique to maximize entropy and control over enhancement. (iii) Two sub images are enhanced by the traditional histogram equalization method independently and then are merged into one output enhanced image. The experimental results show that BPNMBHE is better than other contrast enhancement methods according to image subjective evaluation and various image objective evaluation measures, i.e. Entropy, PSNR, AMBE, and SSIM.
机译:本文提出了一种通过直方图均衡的图像增强新方法,称为亮度保持和非参数修正双直方图均衡(BPNMBHE)。我们的方法包括三个步骤:(i)使用平均强度值将输入的原始图像分为两个子图像。 (ii)我们使用直方图修改技术来最大化熵并控制增强。 (iii)通过传统的直方图均衡方法分别对两个子图像进行增强,然后合并为一个输出增强图像。实验结果表明,根据图像主观评价和各种图像客观评价手段,即熵,PSNR,AMBE和SSIM,BPNNBHE优于其他对比度增强方法。

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