An efficient lossy cartoon image compression method

Image Compression using an Efficient Edge Cartoon + Texture Model

Wavelet-based image coders optimally represent smooth regions and isolated point singularities. However, w av elet coders are less adept at representing perceptually important edge singularities, and coding performance su ers signi cantly as a result. In this paper, w epropose a no veltw o-stageimage coder framework based on modeling images as edge cartoons + textures. In stage 1, w einfer and ...

Lossy dictionary-based image compression method

In this paper, we report on the new method of image compression. The method is based on LZ77 dictionary algorithm. We introduce two modifications such as quantization and noise levels. Experimental results presented in this paper prove that the new method of image compression gives promising results as compared with original LZ77 dictionary algorithm and JPEG2000. 2006 Elsevier B.V. All rights ...

ON A LOSSY IMAGE COMPRESSION/RECONSTRUCTION METHOD BASED ON FUZZY RELATIONAL EQUATIONS

The pioneer work of image compression/reconstruction based onfuzzy relational equations (ICF) and the related works are introduced. TheICF regards an original image as a fuzzy relation by embedding the brightnesslevel into [0,1]. The compression/reconstruction of ICF correspond to thecomposition/solving inverse problem formulated on fuzzy relational equations.Optimizations of ICF can be consequ...

Lossy Image Compression

Representing image files as simple arrays of pixels is generally very inefficient in terms of memory. Storage space and network bandwidth is limited so it is necessary to compress image files. There are many methods that achieve very high compression ratios by allowing the data to be corrupted in ways that are not easily perceivable to the human eye. A new concept is described, combining fracta...

Efficient Context-Based Entropy Coding Lossy Wavelet Image Compression