Reduced memory listless speck image compression

Latte, Mrityunjaya V.; Ayachit, N. H.; Deshpande, D. K.

doi:10.1016/j.dsp.2006.06.001

Cited by 29 publications

(31 citation statements)

References 8 publications

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“…In the last few years, some attempts to overcome SPECK shortcomings have been suggested in the literature, for instance [47][48][49]. In what follows, we list only some works whose applications seem useful in case of VSN.…”

Section: Speck Background Speck Is Introduced Inmentioning

confidence: 99%

“…An open research work may be the implementation of SPECK-based coders dedicated to the power-constrained VSN. A listless version of SPECK, as in [48], could be an efficient scheme to be implemented in visual sensors.…”

Section: Speck Background Speck Is Introduced Inmentioning

confidence: 99%

“…More complex SPECK-based algorithms such as Vector SPECK [49] are not reported. A listless variant of SPECK image compression called LSK is suggested in [48]. LSK uses the block-partitioning policies of SPECK and does an explicit breadth first search, without the need for lists as in [46] or [50].…”

Section: Speck Background Speck Is Introduced Inmentioning

confidence: 99%

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A Survey of Image Compression Algorithms for Visual Sensor Networks

Mammeri

Hadjou

Khoumsi

2012

ISRN Sensor Networks

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With the advent of visual sensor networks (VSNs), energy-aware compression algorithms have gained wide attention. That is, new strategies and mechanisms for power-efficient image compression algorithms are developed, since the application of the conventional methods is not always energy beneficial. In this paper, we provide a survey of image compression algorithms for visual sensor networks, ranging from the conventional standards such as JPEG and JPEG2000 to a new compression method, for example, compressive sensing. We provide the advantages and shortcomings of the application of these algorithms in VSN, a literature review of their application in VSN, as well as an open research issue for each compression standard/method. Moreover, factors influencing the design of compression algorithms in the context of VSN are presented. We conclude by some guidelines which concern the design of a compression method for VSN.

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Section: Speck Background Speck Is Introduced Inmentioning

confidence: 99%

Section: Speck Background Speck Is Introduced Inmentioning

confidence: 99%

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A Survey of Image Compression Algorithms for Visual Sensor Networks

Mammeri

Hadjou

Khoumsi

2012

ISRN Sensor Networks

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“…One of the variant of SPECK is listless SPECK names as LSK [27]. In LSK, there is no need of lists as was in [27] because of breadth first search. Furthermore, it use policies of blockpartitioning.…”

Section: Embedded Zerotrees Of Wavelet Transform (Ezw) Image Compressionmentioning

confidence: 99%

“…It also has two link lists i.e., list of significant pixels (LSPs) and list of insignificant sets (LISs). The detailed procedure of this techniques is discussed in [27]. SPECK has some advantages over other compression techniques.…”

Section: Embedded Zerotrees Of Wavelet Transform (Ezw) Image Compressionmentioning

confidence: 99%