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Image compression and matching
Proceedings of 1st International Conference on Image Processing, 2002This paper addresses the novel idea of whether it is possible to perform spatial matching of compressed images. What are the fundamental problems and limitations of limiting the knowledge to that of the compressed image? We present an algorithm which matches transform block encoded images, without performing the decoding stage. The theoretical 2D image
Michael S. Lew, Thomas S. Huang
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Adaptive reweighted compressed sensing for image compression
2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014According to the compressed sensing (CS) theory, a signal that is sparse in a certain domain can be nearly exactly recovered from a few measurements where the sampling rate is lower than the Nyquist rate. This theory has been successfully applied to the image compression in the past few years as most image signals are highly sparse.
Shuyuan Zhu +2 more
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Compressive Imaging: An Application
SIAM Journal on Imaging Sciences, 2009We consider the application of compressive imaging theory to the problem of wide-area persistent surveillance. While the compressive sensing theory enjoys significant research attention, mainly because of the possibilities for orders-of-magnitude increases in signal/image processing applications, the application areas for compressive imaging have not ...
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Information Sciences, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
F. RIZZO +2 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
F. RIZZO +2 more
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Signal Processing: Image Communication, 1993
Abstract Image compression techniques based on fractals have been developed in the last few years and may promise better compression performance. Fractal image compression techniques are being developed due to the recognition that fractals can describe natural scenes better than shapes of traditional geometry.
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Abstract Image compression techniques based on fractals have been developed in the last few years and may promise better compression performance. Fractal image compression techniques are being developed due to the recognition that fractals can describe natural scenes better than shapes of traditional geometry.
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Compressive image retrieval with modified images
2015 10th Asian Control Conference (ASCC), 2015Many existing image retrieval methods cannot deal with modified query images because modified parts may largely change the original color, shape and texture information. Since every pixel's information of an image has possibility to be changed by editors, local features become less credible.
Chao Zhang 0030, Takuya Akashi
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Compressing images for the internet
Computer Standards & Interfaces, 1999The World Wide Web has rapidly become the hot new mass communications medium. Content creators are using similar design and layout styles as in printed magazines, i.e., with many color images and graphics. The information is transmitted over plain telephone lines, where the speed/price trade-off is much more severe than in the case of printed media ...
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Proceedings of the 4th international conference conference on Computer systems and technologies e-Learning - CompSysTech '03, 2003
The paper gives and introduction on Image Coding based on Fractals and develops a simple algorithm to be used as a reference design.
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The paper gives and introduction on Image Coding based on Fractals and develops a simple algorithm to be used as a reference design.
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On Relation of Image Compression and Image Association
Fundamenta Informaticae, 1997Based on two image compression schemes (MIT and RNS), it is shown that it is possible to associate similar object images using their intermediate representation. Thus both methods can be applied to large image database for both goals: high quality image compression and reliable search for queries by image content.
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Image compression for medical imaging systems
Journal of Medical Systems, 1987The physical size of typical digital images, in terms of the number of bytes of data one image contains, is large; e.g., a 1024 X 1024 image with 8 bits of data per pixel contains a megabyte of data. To transmit many such images over a network, sometimes over low-capacity phone lines to remote sites, or to store large numbers of images over a long ...
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