A Novel Approach for Enhancing Contrast for  Digital Images

K. Umesha, Nandhiniumesh

doi:https://doi.org/10.59232/DSM-V1I2P101

Research Article | Open Access | Download Full Text

Volume 1 | Issue 2 | Year 2024 | Article Id: DSM-V1I2P101 DOI: https://doi.org/10.59232/DSM-V1I2P101

A Novel Approach for Enhancing Contrast for Digital Images

K. Umesha, Nandhiniumesh

Received	Revised	Accepted	Published
27 Feb 2024	05 Mar 2024	18 Mar 2024	05 Apr 2024

Citation

K. Umesha, Nandhiniumesh. “A Novel Approach for Enhancing Contrast for Digital Images.” DS Journal of Multidisciplinary, vol. 1, no. 2, pp. 1-10, 2024.

Abstract

Improving contrast is crucial for increasing autonomous decision-making and visual appeal in a range of industrial applications. This study offers a unique technique for altering the tonality of a variety of photographs, including gray scale or colour contrast-distorted photos and medical images. It is based on Stevens' Power Law (SPL), which is derived from human brightness perception. The proposed method improves the overall tonal look of the image by accounting for the non-linear relationship between intensity and perception. The first stage involves tonal correction using SPL, which allows precise fine-tuning of brightness levels dependent on intensity values in order to get the optimum tone and enhance visual enticement. The sigmoid function is employed to enhance contrast by amplifying pixel brightness variations between adjacent pixels in a targeted manner. This preserves crucial details and refrains from over-amplification, all while enhancing contrasts overall. Two primary benefits of the proposed method are its reduced computational complexity and its ability to offer excellent visibility. By employing SPL and the sigmoid function, the processing needs are decreased without compromising the quality of the output. This renders the proposed method both efficient and appropriate for real-time image processing applications. Experiments' results demonstrate how the proposed method may be applied to tone adjustments, contrast enhancements, processing artifact removal, and other visual quality enhancements for a wide range of photo types. Performance comparisons with other algorithms demonstrate the method's significant improvement in effectiveness and efficiency.

Keywords

Steven’s power law, Contrast enhancement, Contrasts stretching, Histogram equalization, Human visual perception.

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