A modified-set partitioning in hierarchical trees algorithm for real-time image compression

Akter, Masuma; Reaz, Mamun Bin Ibne; Mohd-Yasin, F.; Choong, F.

doi:10.1134/s1064226908060065

Cited by 25 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, a wavelet lifting scheme is adopted to speed up the coding process. A modified SPIHT algorithm for realtime image compression, which requires less execution time and less memory usage than SPIHT, is presented in [33]. Instead of three lists, the authors use merely one list to store the coordinates of wavelet coefficients, and they merge the sorting pass and the refinement pass together as one scan pass.…”

Section: Spiht Background Spiht Introduced Inmentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Image Compression Algorithms for Visual Sensor Networks

Mammeri

Hadjou

Khoumsi

2012

ISRN Sensor Networks

View full text Add to dashboard Cite

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.

show abstract

Section: Spiht Background Spiht Introduced Inmentioning

confidence: 99%

“…Many attempts to enhance SPIHT features and reduce its limitations have been suggested in the literature, for instance [31][32][33]. In [31], the authors apply the concept of networkconscious image compression to the SPIHT algorithm to improve its performance under lossy conditions.…”

Section: Spiht Background Spiht Introduced Inmentioning

confidence: 99%

A Survey of Image Compression Algorithms for Visual Sensor Networks

Mammeri

Hadjou

Khoumsi

2012

ISRN Sensor Networks

View full text Add to dashboard Cite

show abstract

“…One well-known tool used in the image compression done in the resource-constrained devices is so-called low complexity Discrete Cosine Transform (DCT) (Ahmed, Natarajan, & Rao, 1974;Amutha, 2013;Bayer & Cintra, 2012;Chandra & Chakrabarty, 2001;da Silveira, Oliveira, Bayer, Cintra, & Madanayake, 2017;Kaddachi et al, 2012;Pearlman, Islam, Nagaraj, & Said, 2004;Pennebaker, Mitchell, Langdon, & Arps, 1988), which was initially developed to be used in very resource-constrained platforms, for example low power processors in the WSNs. Certain applications involve real-time (Akter, Reaz, Mohd-Yasin, & Choong, 2008;Callahan, 1995) image compression performed directly on-board (Yu, Vladimirova, & Sweeting, 2009) used in several missions to meet the specialized needs of (for example) deep-space applications while achieving state-of-the-art compression effectiveness.…”

Section: Related Workmentioning

confidence: 99%

Image compression in resource-constrained eye tracking devices

Morozkin

Swynghedauw²,

Trocan

2019

Journal of Information and Telecommunication

View full text Add to dashboard Cite

Resource-constrained embedded devices, operating with images, are becoming increasingly common. Examples include remote low-power smart sensors, wireless sensor networks, autonomous cameras, eye tracking devices, etc. The principal requirements of such devices are the operation in real time, low power, low heat as well as low MIPS. These requirements can be fulfilled with the use of approximated version of original image processing algorithms. The EyeDee™ embedded eye tracking solution (developed by SuriCog) is the world's first innovative solution using the eye as a real-time mobile digital cursor, while maintaining full mobility. Being an example of resourceconstrained embedded device, the system consists of a wearable device (Weetsy™ frame) capturing images on the human's eye and an embedded pre-processing device (Weetsy™ preprocessing board) sending these eye images over a transmission medium (wire/wireless transmission) to a remote processing unit for the further gaze reconstruction. This paper is aimed at introducing image compression approaches in the resourceconstrained devices in general and some of their implementation in the Weetsy™ pre-processing board in particular.

show abstract

“…However, 1D SPIHT memory access counts are too high during the process of repetitively arranging key data in bit manipulations after wavelet transform for transmission, resulting in excessive power consumption. Several studies have been conducted to reduce memory accesses and improve compression ratio of 1D SPIHT [19][20][21][22], including line-based backward coding of wavelet trees (L-BCWT) [23,24] and zero memory set partitioned embedded block (ZM-SPECK) [25]. However, energy efficiency of systems after adopting these modified SPIHT methods needs to be further improved to satisfy energy requirements of low-power IoT devices.…”

Section: Introductionmentioning

confidence: 99%

An energy-efficient low-memory image compression system for multimedia IoT products

Lee

Kim

2018

J Image Video Proc.

View full text Add to dashboard Cite

Emerging Internet of things (IoT) technologies have rapidly expanded to multimedia applications, including highresolution image transmission. However, handling image data in IoT products with limited battery capacity requires low-complexity and small-size solutions such as low-memory compression techniques. The objective of this paper is to propose a line-based compression system based on four-level two-line discrete wavelet transform and adaptive line prediction. Bit stream is generated by multiplexing various frequency components with run-level coding combined with Huffman coding. The proposed system also includes a new bit rate control algorithm that could significantly improve image quality consistency in one frame. The proposed low-memory compression system can retain image quality for visually lossless compression criteria over the whole image frame. It can simultaneously lower total system power consumption in multimedia IoT products better than other existing low-memory compression techniques.

show abstract

A modified-set partitioning in hierarchical trees algorithm for real-time image compression

Cited by 25 publications

References 10 publications

A Survey of Image Compression Algorithms for Visual Sensor Networks

A Survey of Image Compression Algorithms for Visual Sensor Networks

Image compression in resource-constrained eye tracking devices

An energy-efficient low-memory image compression system for multimedia IoT products

Contact Info

Product

Resources

About