This report proposes a new method for image compression. The compressed images are visually identical to the originals, even though some of the information in the images is discarded. This is achieves by using results in the field of Human Vision Modeling to select the visually significant regions from the images. Two different compression methods are applied, depending on whether the compressed region is visually significant or not. The method is applicable to all types of images RGB images – photographs, diagrams, text, and others. A reference implementation is developed and tested on a variety of examples. For most images the file size is reduced by at least a half. 1
A novel technique for visually lossless medical image compression is presented Visually lossless com...
Abstract: Digital image compression has been the focus of a large amount of research in recent years...
Several methods have been proposed for color image compression but the reconstructed image had very ...
Many image compression techniques involve segmentation of a gray level image. With such tech-niques,...
Compression plays a significant role in a data storage and a transmission. If we speak about a gener...
We present a new image compression method to improve visual perception of the decompressed images an...
This thesis deals with lossless image compression. In this paper are shown some colour models, which...
This paper presents an alternative spatial image compression method that can be directly applied to ...
Abstract: Problem statement: The general and medical images in specific contain different regions h...
A novel colour image coding technique based on visual patterns is presented. Visual patterns, a conc...
We introduce an optimal approach to colour image compression using a new scan method. We propose ef...
Abstract—We present a compound image compression algorithm for real-time applications of computer sc...
We present a compound image compression algorithm for real-time applications of computer screen imag...
We studied two image characteristics, the smoothness and the similarity, which give rise to local an...
We present a compound image compression algorithm for real-time applications of computer screen imag...
A novel technique for visually lossless medical image compression is presented Visually lossless com...
Abstract: Digital image compression has been the focus of a large amount of research in recent years...
Several methods have been proposed for color image compression but the reconstructed image had very ...
Many image compression techniques involve segmentation of a gray level image. With such tech-niques,...
Compression plays a significant role in a data storage and a transmission. If we speak about a gener...
We present a new image compression method to improve visual perception of the decompressed images an...
This thesis deals with lossless image compression. In this paper are shown some colour models, which...
This paper presents an alternative spatial image compression method that can be directly applied to ...
Abstract: Problem statement: The general and medical images in specific contain different regions h...
A novel colour image coding technique based on visual patterns is presented. Visual patterns, a conc...
We introduce an optimal approach to colour image compression using a new scan method. We propose ef...
Abstract—We present a compound image compression algorithm for real-time applications of computer sc...
We present a compound image compression algorithm for real-time applications of computer screen imag...
We studied two image characteristics, the smoothness and the similarity, which give rise to local an...
We present a compound image compression algorithm for real-time applications of computer screen imag...
A novel technique for visually lossless medical image compression is presented Visually lossless com...
Abstract: Digital image compression has been the focus of a large amount of research in recent years...
Several methods have been proposed for color image compression but the reconstructed image had very ...