A lossy compression tolerant data hiding method is proposed in this paper. The image which hides data is named a stego-image. Most of data hiding methods will lose some hidden data when the stego-image is compressed by lossy compression process. However, there are few people will transmit image without lossy compression in the public internet. By the proposed method, the stego-image can be comp...

in this paper, an object-based, highly scalable, lossy-to-lossless 3d wavelet coding approach for volumetric medical image data (e.g. mr and ct) is proposed. the new method, called 3dobhs-spiht, is based on the well known set partitioning in hierarchical trees (spiht) algorithm and supports both quality and resolution scalability. the 3d input data is grouped into groups of slices (gos) and eac...

High resolution images acquired by an aerial digital camera and high resolution satellite images are expected to become more powerful data source of GIS. Since the large data volume of a high resolution image brings difficulties in dealing with it, lossy image compression is going to be indispensable. Image quality of a reconstructed image after decompression is usually evaluated by visual insp...

In this contribution lossy image compression based on subspaces clustering is considered. Given a PCA factorization of each cluster into subspaces and a maximal compression error, we show that the selection of those subspaces that provide the optimal lossy image compression is equivalent to the 0-1 Knapsack Problem. We present a theoretical and an experimental comparison between accurate and ap...

An imposing number of lossy compression techniques used in medicine, represents a challenge for the developers of a Picture Archiving and Communication System (PACS). How to choose an appropriate lossy medical image compression technique for PACS? The question is not anymore whether to compress medical images in lossless or lossy way, but rather which type of lossy compression to use. The numbe...

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...

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...

Reversible integer wavelet transforms allow both lossless and lossy decoding using a single bitstream. We present a new fully scalable image coder and investigate the lossless and lossy performance of these transforms in the proposed coder. The lossless compression performance of the presented method is comparable to JPEG-LS. The lossy performance is quite competitive with other efficient lossy...