Real Time Implementation of Image Enhancement Based on 2D-DWT

Digitization of images usually suffer from poor image quality, lack of contrast and presence of shading and artifacts, to improve quality of image, especially in effectiveness or attractiveness enhancement is required, The main objective is to enhance the color image by converting the RGB value of e...

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Bibliographic Details
Published in:Procedia computer science 2016, Vol.87, p.105-110
Main Authors: Saravanan, G., Yamuna, G.
Format: Article
Language:English
Subjects:
Co-simulation
Colour Space Conversions
Geometric Mean Filter
Real Time Image Processing
Simulink
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Summary:Digitization of images usually suffer from poor image quality, lack of contrast and presence of shading and artifacts, to improve quality of image, especially in effectiveness or attractiveness enhancement is required, The main objective is to enhance the color image by converting the RGB value of each pixel of the original image to HSV then 2D-DWT applied to the luminance value of V component. It decomposes the original image into four sub bands. The low frequency sub band is smoothened by using geometric mean filter. Then the IDWT applied with new low frequency and other sub bands. The enhanced V is combined with H and S are converted back into RGB. The experimental results vividly displays the proposed algorithm is efficient to enough to remove the noise resulting good enhancement and then achieved increased value of PSNR and reducing value of MSE. The above proposed scheme implemented in Xilinx Spartan-6 FPGA for increasing the speed greatly and reduces the size of the needed storage space.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2016.05.134