Journal ArticleDOI
Image data compression: A review
A.K. Jain
- Vol. 69, Iss: 3, pp 349-389
TLDR
A large variety of algorithms for image data compression are considered, starting with simple techniques of sampling and pulse code modulation (PCM) and state of the art algorithms for two-dimensional data transmission are reviewed.Abstract:
With the continuing growth of modern communications technology, demand for image transmission and storage is increasing rapidly. Advances in computer technology for mass storage and digital processing have paved the way for implementing advanced data compression techniques to improve the efficiency of transmission and storage of images. In this paper a large variety of algorithms for image data compression are considered. Starting with simple techniques of sampling and pulse code modulation (PCM), state of the art algorithms for two-dimensional data transmission are reviewed. Topics covered include differential PCM (DPCM) and predictive coding, transform coding, hybrid coding, interframe coding, adaptive techniques, and applications. Effects of channel errors and other miscellaneous related topics are also considered. While most of the examples and image models have been specialized for visual images, the techniques discussed here could be easily adapted more generally for multidimensional data compression. Our emphasis here is on fundamentals of the various techniques. A comprehensive bibliography with comments is included for a reader interested in further details of the theoretical and experimental results discussed here.read more
Citations
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Book
Fundamentals of digital image processing
TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Journal ArticleDOI
Displacement Measurement and Its Application in Interframe Image Coding
TL;DR: The motion compensation is applied for analysis and design of a hybrid coding scheme and the results show a factor of two gain at low bit rates.
Journal ArticleDOI
Image coding based on a fractal theory of iterated contractive image transformations
TL;DR: The author proposes an independent and novel approach to image coding, based on a fractal theory of iterated transformations, that relies on the assumption that image redundancy can be efficiently exploited through self-transformability on a block-wise basis and approximates an original image by a Fractal image.
Journal ArticleDOI
Image coding using vector quantization: a review
Nasser M. Nasrabadi,R.A. King +1 more
TL;DR: First, the concept of vector quantization is introduced, then its application to digital images is explained, and the emphasis is on the usefulness of the vector quantification when it is combined with conventional image coding techniques, orWhen it is used in different domains.
Patent
Audio and video transmission and receiving system
Paul Yurt,H. Lee Browne +1 more
TL;DR: In this paper, a system of distributing video and audio information employs digital signal processing to achieve high rates of data compression, and the compressed and encoded audio and video information is sent over standard telephone, cable or satellite broadcast channels to a receiver specified by a subscriber of the service, preferably in less than real time, for later playback and optional recording on standard audio and/or video tape.
References
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TL;DR: A minimum-redundancy code is one constructed in such a way that the average number of coding digits per message is minimized.
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Linear prediction: A tutorial review
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