We propose an image noise removal method based on spatial gradient based bilateral filter and smooth filtering. Our method consist two step process; in first step, for a given noisy image we extract all of its patches and apply our newly developed spatial gradient based bilateral filter on each patch and get an reference image; in second step we perform smooth filtering on each pixel of the reference image. Experimental results show that our method is consistent and comparable or better than state-of-the-art.
This paper proposes an efficient method to improve visibility of dark color images and video sequences. Visibility improvement of dark color images play a significant role in computer vision, digital image processing and pattern recognition. In the proposed method we have worked in hue-saturation-value (HSV) color model. The proposed method initially decomposes the V-plane of the input image into low and high frequency components using DCT; it then estimates the singular value matrix of the low-frequency component. After applying certain processing to improve visibility of the dark color image, it reconstructs the processed image by applying inverse DCT. Experimental results show that the proposed method produces enhanced images of comparable or higher quality than those produced using previous state-of-the-art methods.