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Numerical Integration Based Contrast Enhancement Using Simpson’s Method

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Computational Intelligence in Pattern Recognition

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 999))

Abstract

This paper is based on mathematical numerical integration method and provides an efficient algorithm for improving the contrast of an image. The aim of this unique method is to use neighboring pixel information and process them in accordance with mathematics (Simpson’s \({\frac{1}{3}}\)rd rule) to improve contrast of images. Simpson’s rule is a numerical integration method for the accurate approximation of definite integrals. It gives the exact results for polynomials of degree three or less. We use the neighboring pixel information, interpolate among them, and produce the enhanced pixel information. Various parameters like Root Mean Square Error (RMSE), Peak-Signal-to-Noise-Ratio (PSNR) and Structural Similarity Index (SSIM) are used to measure the quality of the images. The experimental results of the proposed method are compared with some existing methods for further validation. Also, the computational time of the proposed method is much less as compared to the different existing methods.

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Authors and Affiliations

  1. Department of CSE, St. Thomas’ College of Engineering and Technology, 4 D. H. Road, Kidderpore, Kolkata, 700023, India

    Amiya Halder, Pritam Bhattacharya & Nikita Shah

Authors
  1. Amiya Halder
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  2. Pritam Bhattacharya
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  3. Nikita Shah
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Corresponding author

Correspondence to Amiya Halder .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Howrah, West Bengal, India

    Asit Kumar Das

  2. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  3. Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha, India

    Bighnaraj Naik

  4. Department of Bioinformatics, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India

    Soumen Kumar Pati

  5. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

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Halder, A., Bhattacharya, P., Shah, N. (2020). Numerical Integration Based Contrast Enhancement Using Simpson’s Method. In: Das, A., Nayak, J., Naik, B., Pati, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 999. Springer, Singapore. https://doi.org/10.1007/978-981-13-9042-5_32

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