Salt and Pepper Noise Removal from Document Images
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Senary Huffman compression - a reversible data hiding scheme for binary images
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Hi-index | 0.00 |
As we are moving to a digital world, digital document image processing is receiving more and more attention. Digital document images are essentially binary images. In applications related to binary document images, such as data hiding and watermarking in binary images, distortionmay be present and it is necessary to measure the distortion for performance comparison. However, traditional objective distortion measures cannot describe the distortion in binary images well to have a good match with human visual perception. In this paper, we present a novel objective distortion measure for binary document images that well correlates to the subjective distortion perception. This measure is based on the reciprocal of distance that is straightforward to calculate. Our results show that the proposed distortion measure matches well with subjective evaluation found on human visual perception.