• Dr.R.Thriveni
• S.BhavyaSree
• S.LakshmiMounika
• G.KumarChaithanya
• N.Ayesha

Image enhancement is most significant step of the digital image processing. Image enhancement is done to improve the images for better perception. There are many ways of improving the images. Basically, these image enhancement are divided into 2 types: Spatial Domain and Frequency Domain. In this enhanced method, LPF coefficients of wavelets and their scaled type undertake masking approach. These scale value is acquired using SVD between rebuilded the estimate coefficients and standard intensity deviation based on sub band HE image. The hiding image is added to the inventive image to get a high contrast-enhanced image. The advantage of the proposed method tested over other methods. The quality and valued analysis is used to give reason for the presentation of the proposed method. A proposal of the image enhancement technique based on frequency domain method. Resolution is most important value factors in images. In this paper we taken Discrete Wavelet Transform to change the input image into the four equal frequency sub-bands and for the LL sub band we estimate the singular value of the image. Then, this output image is rebuilded by applying Inverse Discrete Wavelet Transform. This method determines the singular value matrix using SVD. The low-low sub band of histogram equalized image changes singular value matrix to obtain brightness enhanced image.

A Novel Approach on Image Enhancement Using DWT-SVD

"A Novel Approach on Image Enhancement Using DWT-SVD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.164-169, March-2019, Available :http://www.jetir.org/papers/JETIRAK06030.pdf

"A Novel Approach on Image Enhancement Using DWT-SVD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp164-169, March-2019, Available at : http://www.jetir.org/papers/JETIRAK06030.pdf