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By E. Klein, H. J. Metz (auth.), Peter Stucki (eds.)

ISBN-10: 1461582822

ISBN-13: 9781461582823

ISBN-10: 1461582849

ISBN-13: 9781461582847

Digital snapshot processing, initially proven to research and enhance lunar pictures, is swiftly starting to be right into a wealth of recent appli­ cations, end result of the huge, immense technical growth made in laptop engineering. at the moment, an important fields of development seem to emerge within the components of scientific picture processing (i. e. tomography, thermography), earth source stock (i. e. land utilization, minerals), place of work automation (i. e. record garage, retrieval and replica) and business creation (i. e. laptop imaginative and prescient for mechanical ro­ bots). at present, emphasis is being shifted from signal-processing re­ seek and design-innovation actions in the direction of reasonably priced procedure implementations for interactive electronic snapshot processing. For the years forward, traits in laptop engineering point out nonetheless additional advances in huge Scale Integration (LSI) and Input/Output (I/O) applied sciences permitting the implementation of strong parallel and/or dispensed processor architectures for real-time processing of excessive­ solution achromatic and colour photographs. In view of the numerous new advancements within the box of electronic photo processing and spotting the significance of discussing those advancements among key scientists that may utilize them, ffiM Germany subsidized a global symposium on 'Advances in electronic snapshot Processing', held at undesirable Neuenahr, Federal Republic of Germany, September 26 - 28, 1978. The curiosity proven during this symposium inspired the publi­ cation of the papers provided during this quantity of the ffiM learn Symposium Series.

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0 .... ,, ... .... -'B 1 ... 9b) with -3 -2 BO = 1, -3 , .... , 0 , 0 1 .. , , .. , , "',, ,.... ,1 1, -4 ... 1, ... ..... , .... 0 , 0 -1 '-4 , '1 -3 -2 That corresponds to a processing by a 2D system with an impulse response h O(£1 ,A 1 ;£2,A 2 ) described as follows h O(£1,A 1 ;£2,A 2 ) = 0 for A1 ,A 2 ~ 0, A1>L 1 or (and) A2>L2 hO ( £ 1 ' 1 ; £2' A2 ) = hOU1 ,A 1 ;£2,1) = [~ -3 1 ~1 1 < A2 < L2 [I -~ 1 1 < A1 < L1 ~1 1 < A2 < L2 < A1 < L < A1 < L1 < A2 < L2 [~ -31 h O(£1 ,L 1 ;£2,A 2 ) = h O(£1,A 1 ;£2,L 2 ) = -31 h O( £1 ,A 1 ;£2 ,A 2 ) = ~ 1 ~ 011 0 -41 ~l ~.

TRENDS IN DIGITAL IMAGE PROCESSING RESEARCH 23 I II. EFFICIENT CODING In many applications, one needs to transmit or store images in digital form. The number of bits involved is often tremendous. It is desirable and in many cases mandatory to compress or efficiently code the data. 3 x 10 bits of image ~ata per year. 7 x 10 bits per year. All these data have to be stored. Some compression is highly desirable. In the past, much of the research in image coding was motivated by video phone. More recently, attention has been shifted to teleconferencing and to a lesser extent studio television applications.

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Advances in Digital Image Processing: Theory, Application, Implementation by E. Klein, H. J. Metz (auth.), Peter Stucki (eds.)


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