Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-08-10
International Journal of Artificial Intelligence, Spring 2009, Volume 2, Number S09
Computer Science
Computer Vision and Pattern Recognition
14 pages, 15 figures. International Journal of Artificial Intelligence, Spring 2009, Volume 2, Number S09
Scientific paper
Data compression is a method of improving the efficiency of transmission and storage of images. Dithering, as a method of data compression, can be used to convert an 8-bit gray level image into a 1-bit / binary image. Undithering is the process of reconstruction of gray image from binary image obtained from dithering of gray image. In the present paper, I propose a method of undithering using linear filtering followed by anisotropic diffusion which brings the advantage of smoothing and edge enhancement. First-order statistical parameters, second-order statistical parameters, mean-squared error (MSE) between reconstructed image and the original image before dithering, and peak signal to noise ratio (PSNR) are evaluated at each step of diffusion. Results of the experiments show that the reconstructed image is not as sharp as the image before dithering but a large number of gray values are reproduced with reference to those of the original image prior to dithering.
No associations
LandOfFree
Undithering using linear filtering and non-linear diffusion techniques does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Undithering using linear filtering and non-linear diffusion techniques, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Undithering using linear filtering and non-linear diffusion techniques will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-666149