An Efficient Brightness Preserving Contrast Enhancement Technique Using Discrete Wavelet Transform and Singular Value Decomposition

Gupta, Priyanka; Kumare, Jamvant Singh; Singh, Uday Pratap; Singh, Rajeev Kumar

doi:10.1007/978-981-10-8234-4_30

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…R. Priyadharsini et al performed Laplacian filtering on low-frequency subbands based on SWT, and superimposed non-stationary wavelet reconstruction to obtain high-contrast images [19] . Priyanka Gupta et al proposed a contrast enhancement technique based on dynamic histogram equalization with preserving brightness, and the enhanced image obtained has a good appearance and a higher PSNR value [20] . In complex underwater environments, images also have problems such as distortion and blur.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Traditional pattern enhancement based on improved singular value decomposition and gamma function in the frequency domain

Yan

Yuan

et al. 2023

Preprint

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Aiming at the problems of blurring and distortion of traditional patterns, an enhancement method to improve resolution and contrast is proposed.First, the discrete wavelet transform, stationary wavelet transform, and interpolation algorithm are used to obtain high-resolution images of traditional patterns. Then, the improved singular value matrix coefficients and the reconstructed gamma function are used to enhance the image contrast to obtain high-resolution and contrast-enhanced patterns. The experimental results show that the evaluation indexes such as mean square error, peak signal-to-noise ratio, and structural similarity corresponding to this method are improved compared with other comparison methods. It can effectively improve the quality of traditional patterns and is of great significance to the research on the restoration and protection of traditional patterns.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Traditional pattern enhancement based on improved singular value decomposition and gamma function in the frequency domain

Yan

Yuan

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Traditional pattern enhancement based on improved singular value decomposition and gamma function in the frequency domain

Dong,

He,

Qin

et al. 2023

IFS

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A novel enhancement method to improve resolution and contrast has been proposed to address the issues of blurring and distortion commonly encountered in traditional patterns. Initially, a discrete wavelet transform, a stationary wavelet transform, and an interpolation algorithm are used to obtain high-resolution images of traditional patterns. Subsequently, improved singular value matrix coefficients and reconstructed gamma function are used to enhance the image contrast to obtain high-resolution and contrast-enhanced patterns. Experimental results demonstrate the efficacy of this method, as evidenced by improved evaluation indexes, such as mean square error, peak signal-to-noise ratio, and structural similarity, in comparison to other existing methods. The proposed method effectively improves the quality of traditional patterns and offers significant contributions to research on the restoration and protection of traditional patterns.

show abstract

An Efficient Brightness Preserving Contrast Enhancement Technique Using Discrete Wavelet Transform and Singular Value Decomposition

Cited by 2 publications

References 17 publications

Traditional pattern enhancement based on improved singular value decomposition and gamma function in the frequency domain

Traditional pattern enhancement based on improved singular value decomposition and gamma function in the frequency domain

Traditional pattern enhancement based on improved singular value decomposition and gamma function in the frequency domain

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