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Information Journal Paper

Title

A GENERAL FRAMEWORK FOR 1-D HISTOGRAM-BAESD IMAGE CONTRAST ENHANCEMENT

Pages

  1384-1391

Abstract

 In this paper, a general framework for image CONTRAST ENHANCEMENT algorithm based on an optimization problem is presented. Through this optimization, the intensities can be better distributed. The algorithm is based on the facts that the histogram of the enhanced image is close to the input image histogram and uniform distribution, simultaneously. Based on this fact, we obtain a closed form optimal solution for the histogram of the enhanced image. Experimental results in a wide range of images demonstrate the high-performance of the proposed method.

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    APA: Copy

    Ezoji, M., & IRAVANI, S.. (2016). A GENERAL FRAMEWORK FOR 1-D HISTOGRAM-BAESD IMAGE CONTRAST ENHANCEMENT. INTERNATIONAL JOURNAL OF ENGINEERING, 29(10), 1384-1391. SID. https://sid.ir/paper/724257/en

    Vancouver: Copy

    Ezoji M., IRAVANI S.. A GENERAL FRAMEWORK FOR 1-D HISTOGRAM-BAESD IMAGE CONTRAST ENHANCEMENT. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2016;29(10):1384-1391. Available from: https://sid.ir/paper/724257/en

    IEEE: Copy

    M. Ezoji, and S. IRAVANI, “A GENERAL FRAMEWORK FOR 1-D HISTOGRAM-BAESD IMAGE CONTRAST ENHANCEMENT,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 29, no. 10, pp. 1384–1391, 2016, [Online]. Available: https://sid.ir/paper/724257/en

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