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Architecture for Image Contrast Enhancement Applications by Altera Quartus II

机译:Altera Quartus II的图像对比度增强应用的体系结构

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Objectives: To design the hardware architecture for contrast enhancement applications. Methods / Statistical Analysis: Image improvement is the technique utilized to make strides the visible illustration of an image. Histogram equalization is one of the most vital techniques of image improvement. Findings: The fundamental idea of histogram equalization is to re-map the gray degrees of the image. Indeed in spite of the fact that these approaches may improve the differentiate of a picture in a successful and proficient way, they ordinarily have a few downsides, like misfortune in data, commotion enhancement and over enhancement. In this extend a modern strategy which performs differentiate improvement may named as adjusted color protecting versatile gamma adjustment. The upgrade is gotten by a combination of altered histogram and its versatile gamma adjustment. Applications / Imporovement:The proposed strategy is analyzed for many differentiate test pictures. It works better than existing. In addition to that the VLSI architecture of the algorithm is developed for size 2×2 image using ALTERA QUARTUS II. The same architecture can be extended to entire image.
机译:目标:设计用于对比度增强应用程序的硬件体系结构。方法/统计分析:图像改进是用于使图像的可视插图大步前进的技术。直方图均衡化是图像改善最重要的技术之一。发现:直方图均衡化的基本思想是重新映射图像的灰度。的确,尽管这些方法可以成功且熟练地改善图片的区分度,但它们通常具有一些缺点,例如数据上的不幸,混乱增强和过度增强。在此扩展中,一种执行差异化改进的现代策略可能称为调整后的颜色保护通用伽玛调整。升级是通过更改直方图及其通用的伽玛调整来实现的。应用/改进:针对许多不同的测试图片分析了所提出的策略。它比现有的更好。除此以外,还使用ALTERA QUARTUS II为2×2尺寸的图像开发了算法的VLSI体系结构。相同的体系结构可以扩展到整个图像。

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