Image enhancement using combined ICA and PCA based filtering in HSV domain

Image enhancement is mostly expanding the perception of data in pictures for individual viewers and giving enhanced information to other image processing techniques. Image enhancement is a digital processing method which does its best to improve image vision and makes the image adapt to be processed by computer. As well, the need for contrast enhancement also arises from the fact that current softcopy display devices are incapable of displaying as many different discernible levels of luminance as can be recorded in a digital image. It really enhances some information inside the image selectively and restrains the other ones. In this way, it is easy to detect and recognize useful information. It generally yields satisfactory results if the proper technique is selected for a given application along with the proper processing parameters. In the presented paper, first section gives a brief introduction to the image enhancement, the second section contains a brief literature about the previous work done and the third section contains proposed issue and related proposed method to enhance the image. The proposed system works by tracking the edges using ICA and PCA based filtering by firstly transforming the image into HSV domain and then applying the filtering and contrast change, after that the image is again converted to visible form and analyzed under PSNR, MSE and Standard Deviation.