Performance Analysis of Multispectral Color Composite Image Enhancement Technique using Decorrelation Stretching and Histogram Equalization Methods

Authors

  • Boopathiraja S Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University) Gandhigram, Tamil Nadu, India
  • Kalavathi P Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University) Gandhigram, Tamil Nadu, India
  • Geethalakshmi M Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University) Gandhigram, Tamil Nadu, India

Keywords:

Multispectral Image, LANDSAT, Image Enhancement, Histogram Equalization, Contrast Enhancement

Abstract

Multispectral images are taken from remote sensing sensors which are used in wide variety of application including earth observation, distortion management and so on. An interpretation of those images for different type of applications needs to enhance for more accurate processing. In this study, we have taken the multispectral image of LANDSAT dataset which has seven bands. The color composite image is derived through combining different bands of this dataset and it is act as single color composite multispectral image. The enhancement of this multispectral color composite images is done through decorrelation stretching and the performance of this method is explained and compared with other methods such as various histogram based methods.

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www. glovis.usgs.gov

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Published

2025-11-13

How to Cite

[1]
S. Boopathiraja, P. Kalavathi, and M. Geethalakshmi, “Performance Analysis of Multispectral Color Composite Image Enhancement Technique using Decorrelation Stretching and Histogram Equalization Methods”, Int. J. Comp. Sci. Eng., vol. 6, no. 4, pp. 319–323, Nov. 2025.

Issue

Vol. 6 No. 4 (2018): IJCSE Special Issue May Edition

Section

Research Article

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