Image enhancement using singular value decomposition

An approach to image enhancement technique based on frequency domain methods has been proposed. Resolution is one of the most significant quality factors in images. In this paper we use DWT to decompose the input image into the four frequency sub bands and for the low-low sub band we estimate the singular value matrix of the image. Then, the improved image is reconstructed by applying IDWT. This technique also estimates the singular value matrix using singular value decomposition (SVD). The low-low sub band of histogram equalized image normalizes singular value matrix to obtain brightness enhanced image.