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This paper presents a novel technique to increase the quality of medical images based on Histogram Equalization. In the proposed method first we have applied a noise reduction method and then we apply some suitable preprocessing on histogram of the medical images and after that histogram equalization has been applied on the new histogram. Our proposed method in despite of its simplicity has better results in compare to other usual methods based on histogram equalization. The quality of resulted images after applying our proposed methods has been tested on a database (medical images) with a confirmed criterion by viewer. Also we have considered a mathematical criterion for comparing our proposed algorithm with other available methods for contrast enhancement. Results show the better efficiency of the proposed method.
Date : 2026-01-21 Size : 410kb User : ismaiel

Matlab环境下的几个数字图像处理实验,包含图像灰度变换、直方图均衡化、直方图匹配、邻域平均、局域增强、中值滤波、图像的锐化等-Matlab environment, several digital image processing experiments, including the image gray level transformation, histogram equalization, histogram matching, neighborhood average, local enhancement, median filtering, image sharpening, etc.
Date : 2026-01-21 Size : 4.86mb User : 王宇歆

Survey of Contrast Enhancement Techniques based on Histogram Equalization
Date : 2026-01-21 Size : 357kb User : shilpha

Histogram equalization is widely used for contrast enhancement in a variety of applications due to its simple function and effectiveness. Examples include medical image processing and radar signal process- ing. One drawback of the histogram equalization can be found on the fact that the brightness of an im- age can be changed after the histogram equalization, which is mainly due to the flattening property of the histogram equalization. Thus, it is rarely utilized in consumer electronic products such as TV where pre- serving original input brightness may necessary in or- der not to introduce unnecessary visual deterioration. This paper proposes a novel extension of histogram equalization to overcome such drawback of the his- togram equalization. -Histogram equalization is widely used for contrast enhancement in a variety of applications due to its simple function and effectiveness. Examples include medical image processing and radar signal process- ing. One drawback of the histogram equalization can be found on the fact that the brightness of an im- age can be changed after the histogram equalization, which is mainly due to the flattening property of the histogram equalization. Thus, it is rarely utilized in consumer electronic products such as TV where pre- serving original input brightness may necessary in or- der not to introduce unnecessary visual deterioration. This paper proposes a novel extension of histogram equalization to overcome such drawback of the his- togram equalization.
Date : 2026-01-21 Size : 1.74mb User : Fahad Najeeb

上传文件为数字图像处理中的直方图均衡化处理MATALB程序-Upload files for digital image processing histogram equalization processing MATALB program
Date : 2026-01-21 Size : 1kb User : kevenlee

MATLAB图像处理-基于高频强调滤波和直方均衡化图像增强-MATLAB image processing- based on high frequency emphasis filtering and histogram equalization image enhancement
Date : 2026-01-21 Size : 562kb User : 周成

Histogram equalization Histogram equalization Histogram equalization-Histogram equalizationHistogram equalizationHistogram equalizationHistogram equalizationHistogram equalization
Date : 2026-01-21 Size : 10kb User : huowei
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