Image contrast enhancement by scaling reconstructed approximation coefficients using SVD combined masking technique
Discrete wavelet transform; Masking technique; Singular value decomposition; Standard intensity deviation clipped sub image histogram equalization
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. 2015 The Science and Information (SAI) Organization Limited.
Sandeepa K.S.; Jagadale B.N.; Naragund M.N.; Bhat J.S.; Panchaxri
International Journal of Advanced Computer Science and Applications, Vol-9, No. 2, pp. 127-132.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.14569/IJACSA.2018.090218 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049530583&doi=10.14569%2fIJACSA.2018.090218&partnerID=40&md5=e2553bb8946c8a22fd3f715b25ee22da
Sandeepa K.S., Department of Electronics, Kuvempu University, Karnataka, India; Jagadale B.N., Department of Electronics, Kuvempu University, Karnataka, India; Naragund M.N., Department of Electronics, Christ University, Karnataka, India; Bhat J.S., Department of Physics, Karnataka University, Karnataka, India; Panchaxri, Department of Electronics, SSA Govt First Grade College, Ballari, Karnataka, India