Home » Analysis of Image Quality Enhancement Using Colour Depth Histogram and Luminance Contrast Masking

Analysis of Image Quality Enhancement Using Colour Depth Histogram and Luminance Contrast Masking

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Nalini Dhuware 

Dept. of ECE,  Scope College of Engineering, Bhopal, India

email: setu17687@gmail.com

Bharti Chaurasia

Dept. of ECE, Scope College of Engineering, Bhopal, India

email: bharti.chourasia27@gmail.com

Yashwant Kurmi

yashwantkurmi18@gmail.com

Dept. of ECE, Maulana Azad National Institute of Technology Bhopal, India

Abstract

Image enhancement is essentially required for image processing. Many enhancement processes proposed based on different requirements. An analysis of image quality via color with depth histograms and luminance with contrast masking is present in this paper. The contrast measurement can be modified for any multi-resolution image enhancement framework. Experimental results satisfy the proposed algorithm ability to achieve desired improvements. Poisson noise cancellation by improving threshold values for wavelet approximation. Further, the contrast enhancement method also considers here for better improvements and reconstruction. The different combination of de-convolution process and also proper filtering methods of each elemental image provide the better result. Image quality enhancement is possible by color improvement with depth histograms and luminance with contrast masking properly.

Keywords

Contrast masking;
Multi-scale transforms;
Histogram modification;
Histogram partitioning.

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Cited as

Nalini Dhuware, Bharti Chaurasia and Yashwant Kurmi,  “Analysis of Image Quality Enhancement Using Colour Depth Histogram and Luminance Contrast Masking,” International Journal of Advanced Engineering and Management, Vol. 2, No. 5, pp. 109-112,  2017.                                      

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