Gradient based histogram equalization in grayscale image enhancement

Artyom M. Grigoryan; Sos S. Agaian

doi:10.1117/12.2519119

13 May 2019 Gradient based histogram equalization in grayscale image enhancement

Artyom M. Grigoryan, Sos S. Agaian

Proceedings Volume 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019; 109930O (2019) https://doi.org/10.1117/12.2519119
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

This paper presents a new method of histogram equalization for grayscale images, which is called the gradient based histogram equalization. The histogram equalization is performed on the image filtered by means of gradient operators. The proposed method is simple, fast, and the preliminary experimental examples with different images show that the method is effective for image enhancement. While preserving the range and mean intensity of the image, the new method allows for reducing the standard deviation and significantly straitening the graph of the histogram, when comparing with the traditional (or global) histogram equalization.

Citation Download Citation

Artyom M. Grigoryan and Sos S. Agaian "Gradient based histogram equalization in grayscale image enhancement", Proc. SPIE 10993, Mobile Multimedia/Image Processing, Security, and Applications 2019, 109930O (13 May 2019); https://doi.org/10.1117/12.2519119

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