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Variance Based Brightness Preserved Dynamic Histogram Equalization for Image Contrast Enhancement

  • Representation, Processing, Analysis, and Understanding of Images
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Abstract

This paper proposes a novel variant of Brightness Preserving Dynamic Histogram Equalization (BPDHE) having more brightness preserving capability with less computational time. This variant, called Variance based Brightness Preserve Dynamic Histogram Equalization (VBBPDHE) uses the interclass and intraclass variance information to segment out the histogram recursively. This variant does not need the smoothing operation of input histogram and also no need to compute local maxima or minima to segment out the histogram unlike BPDHE. Visual analysis, quality metrics and execution time clearly demonstrate the efficiency of the proposed VBBPDHE over well-known existing methods.

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Authors and Affiliations

  1. Dept. of Computer Science and Application, Midnapore College (Autonomous), Paschim Medinipur, West Bengal, India

    Krishna Gopal Dhal

  2. Dept. of Information Technology, Kalyani Govt. Engineering College, Kalyani, Nadia, India

    Arunita Das

  3. Dept. of Engineering and Technological Studies, University of Kalyani, Kalyani, Nadia, India

    Nabin Ghoshal & Sanjoy Das

Authors
  1. Krishna Gopal Dhal
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  2. Arunita Das
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  3. Nabin Ghoshal
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  4. Sanjoy Das
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Corresponding author

Correspondence to Krishna Gopal Dhal.

Additional information

The article is published in the original.

Krishna Gopal Dhal completed his B. Tech and M. Tech from Kalyani Government Engineering College, West Bengal, India. Currently he is working as Assistant Professor in Dept. of Computer Science and Application, Midnapore College (Autonomous), Paschim Medinipur, West Bengal, India. His research interests are Digital Image Processing, Nature-Inspired Optimization Algorithms, and Medical Imaging.

Arunita Das completed her B.Sc. and M.Sc. in Computer Science from Vidyasagar University, Paschim Medinipur, West Bengal, India. She is the recipient of the University Silver Medal two times for achieving second position in BSc and MSc courses. Currently she is pursuing her M. Tech in Dept. of Information Technology, Kalyani Government Engineering College, West Bengal, India. Her research interests are Medical Image processing and Nature-Inspired Optimization Algorithms.

Sanjoy Das completed his B.E. from Regional Engineering College, Durgapur, M.E. from Bengal Engineering College (Deemed Univ.), Howrah, PhD from Bengal Engineering and Science University, Shibpur. Currently he is working as Scientific Officer in Dept. of Engineering and Technological Studies, University of Kalyani, Nadia, West Bengal, India. His research interests are Tribology and Optimization Techniques.

Nabin Ghoshal is currently a Faculty member in Dept. of Engineering and Technological Studies, University of Kalyani, Nadia, West Bengal, India. He received his PhD in Computer Science and Engineering from University of Kalyani, Nadia, West Bengal, India. His research interests are Steganography, Watermarking, Security, Bio-metric Steganography, and Visual Cryptography. Dr. Ghoshal has 51 research papers in well-recognized national and international journals and conferences.

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Dhal, K.G., Das, A., Ghoshal, N. et al. Variance Based Brightness Preserved Dynamic Histogram Equalization for Image Contrast Enhancement. Pattern Recognit. Image Anal. 28, 747–757 (2018). https://doi.org/10.1134/S1054661818040211

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  • DOI: https://doi.org/10.1134/S1054661818040211

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