Significance map pruning and other enhancements to SPIHT image coding algorithm

Bayazıt, Uluğ

doi:10.1016/s0923-5965(03)00049-3

Cited by 11 publications

(12 citation statements)

References 21 publications

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“…The coding results of the EZBC [8], Stack X-tree [5], enhanced SPIHT [3], Modified SFQ [2] and EBCOT [15] are listed in Table 2. Note that the PSNR results for Goldhill are not present in [15], we take them from [8], by considering the JPEG2000 Generic Scalable modality.…”

Section: Summary Of Coding Algorithm and Experimental Resultsmentioning

confidence: 99%

“…The zerotree idea was first introduced by Shapiro's embedded zerotree wavelet (EZW) [14] and then reformulated with the set partitioning in hierarchical trees (SPIHT) algorithm by Said and Pearlman [13]. Since the idea of embedded zerotree coding is so attractive, many improved schemes [8,5,3] have been proposed since then. Because EZW-like coders can provide efficient coding for still images and visual textures, the MPEG-4 standard also uses it in the visual texture mode [10].…”

Section: Introductionmentioning

confidence: 99%

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Image coding based on wavelet transform and uniform scalar dead zone quantizer

Chen

Zhang

Shi

2006

Signal Processing: Image Communication

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Section: Summary Of Coding Algorithm and Experimental Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Image coding based on wavelet transform and uniform scalar dead zone quantizer

Chen

Zhang

Shi

2006

Signal Processing: Image Communication

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“…C(i, j) is the wavelet coefficient value at position (i, j). In a pass p, the decision for a coefficient is made as follows [8]:…”

Section: B Spiht Encodermentioning

confidence: 99%

SPIHT-based image compression scheme for energy conservation over wireless vision sensor networks

Chefi

Sicard

2014

2014 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS)

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Wireless Sensor Networks (WSNs) are known to be greatly energy-constrained, especially for vision-based applications. Image compression can provide energy efficiency by reducing the data flow to be transmitted at the cost of more computation. The compression scheme must be designed with respect to the tradeoff between computational complexity and compression ratio. The aim of this paper is to present and evaluate software and hardware implementations of lowcomplexity encoder designed to respect the resource constraints of WSNs. The proposed image compression scheme will be considered as a co-processor enabling low power computation and communication over WSNs. This paper presents a performance evaluation of the proposed technique for both software and hardware implementations, with relevant comparisons to some related works.

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“…Though this type of method has improved the rate-distortion performance greatly at some truncation points, it cannot optimize rate-distortion at any arbitrary truncation point. SMPAOET_SPIHT [4] partitions bitplanes into passes, and optimized rate-distortion performances with rate-distortion contributions for these passes are estimated by pre-coding. However, SMPAOET_SPIHT has high complexity because it estimates the rate-distortion contribution of every pass by pre-coding.…”

Section: Rate-distortion Optimization Using Context-based Weightingmentioning

confidence: 99%

“…Danyali proposed highly scalable image compression based on SPIHT for network applications [3], which can produce a quick preview. Bayazit proposed an enhanced SPIHT image coding algorithm using R-D optimization and high-order context arithmetic coding [4]. The above three methods are all based on the zerotree algorithm of spatial trees, and they all make full use of inter-band correlation.…”

Section: Introductionmentioning

confidence: 99%

Using a weighted zeroblock coder for satellite image compression

Xiao

Shi

et al. 2010

J. Appl. Remote Sens

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In this paper, we propose an embedded satellite image compression method using Weighted ZeroBlock Coding (WZBC) and optimal sorting. In order to reduce average codeword length, Set Partition Embedded block (SPECK) and Embedded ZeroBlock Coder (EZBC) both encode significant block-sets with fixed-length bits, while WZBC assigns different-length bits to encode block-sets which contain different numbers of significant subblocks. In view of the context correlation among coefficients/blocks, WZBC employs a weight context to optimize the scanning order of the significance testing and the ratedistortion performance. Experimental results show that the proposed WZBC in binary coding mode provides excellent coding performance compared with those of SPECK and Set Partitioning In Hierarchical Trees (SPIHT) which use arithmetic coding, and can even closely approach that of JPEG2000. When arithmetic coding is extensively used, the proposed method has clear advantages.

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Significance map pruning and other enhancements to SPIHT image coding algorithm

Cited by 11 publications

References 21 publications

Image coding based on wavelet transform and uniform scalar dead zone quantizer

Image coding based on wavelet transform and uniform scalar dead zone quantizer

SPIHT-based image compression scheme for energy conservation over wireless vision sensor networks

Using a weighted zeroblock coder for satellite image compression

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