EBCOT using energy efficient wavelet transform

Babu, D. Vijendra; Alamelu, N.R.; Subramanian, P.; Ravikannan, N.

doi:10.1109/icccnet.2008.4787746

Cited by 6 publications

(4 citation statements)

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“…EBCOT is divided into two coding steps: Tier-1 and Tier-2 coding. The first is based on tree pass: significance propagation pass (Pass1), magnitude refinement pass (pass2) and cleanup pass (pass3); the tier-2 is used to organize the portfolio among bit-streams from every block [10].…”

Section: The Proposed Methodsmentioning

confidence: 99%

Efficient JPEG 2000 Image Compression Scheme for Multihop Wireless Networks

et al. 2011

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Section: The Proposed Methodsmentioning

confidence: 99%

Efficient JPEG 2000 Image Compression Scheme for Multihop Wireless Networks

et al. 2011

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“…Investigations of JPEG 2000 image compression, focusing on energy consumption, memory utilization, and computational complexity, have been reported in [9][10][11]. In [9], the research focuses on the effect of energy consumption and PSNR when both wavelet subband parameters are altered in resolution scale and wavelets coefficients level.…”

Section: Introductionmentioning

confidence: 99%

“…This research was not carried out on an Embedded Linux platform and the results do not show correlation between image compression and transmission time of images. The authors of [10] investigated the method of energy efficiency of wavelets integrated with Embedded Block Coding with Optimized Truncation (EBCOT). Comparison between compression ratio and quantization level was made based on observed PSNR values.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficiency of Image Transmission in Embedded Linux based Wireless Visual Sensor Network

Sastra

Wirawan

Hendrantoro

2015

JCOMSS

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Wireless Visual Sensor Network (WVSN) is a system that consists of visual sensor nodes with an embedded processor. WVSN devices have limited resources of energy, computation capability, memory, and bandwidth. Due to these limitations the implementation of WVSN for large multimedia data, such as images, become a challenging task. Therefore, it is required compressed images prior to transmission. In addition to the limited resources, the system implementation strongly affects the efficiency of the working system.The main contribution of this research is to offer a technical solution of simpler image compression on the WVSN platform. JPEG 2000 is investigated as an alternative compression method to reduce the size of data transfer on WVSN using Embedded Linux as its operating system. Compressed images are transferred to a receiver on communication of IEEE 802.15.4.. This paper shows that the energy consumption for compression and transmission will reduce to only 10.48%, 13.60%, and 17.11% compared to raw image. BER will significantly reduce by implementing image compression. Therefore, it is demonstrated that this model significantly increases energy efficiency, memory utilization efficiency, and data transfer time with acceptable PSNR, compared to uncompressed images.

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