Abstract: The proposed method addresses the general issues of image contrast enhancement. The input image is enhanced by incorporating discrete wavelet transform, singular value decomposition, standard intensity deviation based clipped sub image histogram equalization and masking technique. In this method, low pass filtered coefficients of wavelet and its scaled version undergoes masking approach. The scale value is obtained using singular value decomposition between reconstructed approximation coefficients and standard intensity deviation based clipped sub image histogram equalization image. The masking image is added to the original image to produce a maximum contrast-enhanced image. The supremacy of the proposed method tested over other methods. The qualitative and quantitative analysis is used to justify the performance of the proposed method.

Sandeepa K S, Basavaraj N Jagadale, J S Bhat, Mukund N Naragund and Panchaxri, “Image Contrast Enhancement by Scaling Reconstructed Approximation Coefficients using SVD Combined Masking Technique” International Journal of Advanced Computer Science and Applications(IJACSA), 9(2), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090218

@article{S2018,
title = {Image Contrast Enhancement by Scaling Reconstructed Approximation Coefficients using SVD Combined Masking Technique},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090218},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090218},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {2},
author = {Sandeepa K S and Basavaraj N Jagadale and J S Bhat and Mukund N Naragund and Panchaxri}
}