Restoration and enhancement of impulse noise image for human visual system

In today´s era, almost all information is transmitted in the form of digital image or video. But after transmission, the obtained image is often corrupted with noise. Hence, we have to recover the originality of image by removing noise and then enhanced it for a specific application. Here, we proposed two hybridization method for removing impulse noise and get the restored image. In first method, we hybridized decision based algorithm with 2D discrete wavelet transforms. In second, hybridization of decision based algorithm with an adaptive Wiener filter is proposed to get the restored image. The restored image is then processed by an enhancement technique. In the proposed color image enhancement, the restored color image is converted into an HSV color image. Later, luminance intensity of low frequency component of value (V) component is enhanced. It is then followed by contrast enhancement technique, resulted in modified V component. The modified V component is combined with Hue (H) and Saturation (S) and converted back into enhanced RGB image. Experimental results prettify the images which are captured at low-light and non-uniform lighting condition as in several standard images as well as in real time image.