H10940688S19

Image Enhancement Technique Using Mean Quantization Transforms and Equalization
Eben Sophia P¹, Aravindh.S², Chandru.M³, Gowtham.N⁴, Mukesh Kannan.K.S⁵

¹Eben Sophia P, Assistant Professor, Department of Electronics and Communication Engineering,, Karpagam College of Engineering, Coimbatore (TamilNadu), India.

²Aravindh S, Assistant Professor, Department of Electronics and Communication Engineering,, Karpagam College of Engineering, Coimbatore (TamilNadu), India.

³Chandru M, Assistant Professor, Department of Electronics and Communication Engineering,, Karpagam College of Engineering, Coimbatore (TamilNadu), India.

⁴Gowtham N, Assistant Professor, Department of Electronics and Communication Engineering,, Karpagam College of Engineering, Coimbatore (TamilNadu), India.

⁵Mukesh Kannan K. S, Assistant Professor, Department of Electronics and Communication Engineering,, Karpagam College of Engineering, Coimbatore (TamilNadu), India.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript Published on 19 June 2019 | PP: 561-564 | Volume-8 Issue-8S June 2019 | Retrieval Number: H10940688S19/19©BEIESP

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Abstract: In this examination, the picture contains compacted compelling extent that can be improved for knowing data. Complexity improvement of a specific picture is a capacity in picture handling field. Thus, we upgrade the distinctive sorts of picture by utilizing the histogram equalization (HE), Successive Means Quantization Transform (SMQT) and V-Transform utilizing MATLAB. At that point, we apply the histogram evening out on Vchange channel of info picture subsequent to changing over the shading space from RGB to HSV. Contrasted with different strategies Histogram evening out calculation is the least difficult looking at all different methods, it has a wide difference of dark dimensions and isn’t appropriate for various sorts of shading pictures. V-change calculation is a best alternative for shading pictures. The calculation is in a consecutive way and requires low processing force. Where SMQT calculation is non-straight.

Keywords: Image Enhancement, SMQT, Histogram Equalization, V Transform.
Scope of the Article: Communications