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Reduced memory, low complexity embedded image compression algorithm using hierarchical listless discrete Tchebichef transform
by
Mahapatra, Kamala Kanta
, Pati, Umesh C.
, Senapati, Ranjan Kumar
in
Algorithms
/ Applied sciences
/ Blocking
/ block‐based algorithms
/ Coding, codes
/ Complexity
/ constant bit rate traffic
/ data compression
/ decoding time
/ Detection, estimation, filtering, equalization, prediction
/ discrete transforms
/ dynamic memory requirement
/ encoding time
/ Exact sciences and technology
/ hand held mobile devices
/ hierarchical listless discrete Tchebichef transform
/ HLDTT
/ ILSK algorithm
/ image coding
/ Image compression
/ Image processing
/ Information, signal and communications theory
/ listless set partitioning embedded block
/ low complexity embedded image compression algorithm
/ mobile computing
/ notebook computers
/ output bit string
/ Partitioning
/ peak‐signal‐to‐noise‐ratio
/ portable devices
/ PSNR
/ reduced memory image compression algorithm
/ set partitioning embedded block
/ set theory
/ Signal and communications theory
/ Signal processing
/ Signal, noise
/ SPECK
/ SSIM
/ Strings
/ structural‐symmetric‐index‐metric
/ Telecommunications and information theory
/ Transforms
2014
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Reduced memory, low complexity embedded image compression algorithm using hierarchical listless discrete Tchebichef transform
by
Mahapatra, Kamala Kanta
, Pati, Umesh C.
, Senapati, Ranjan Kumar
in
Algorithms
/ Applied sciences
/ Blocking
/ block‐based algorithms
/ Coding, codes
/ Complexity
/ constant bit rate traffic
/ data compression
/ decoding time
/ Detection, estimation, filtering, equalization, prediction
/ discrete transforms
/ dynamic memory requirement
/ encoding time
/ Exact sciences and technology
/ hand held mobile devices
/ hierarchical listless discrete Tchebichef transform
/ HLDTT
/ ILSK algorithm
/ image coding
/ Image compression
/ Image processing
/ Information, signal and communications theory
/ listless set partitioning embedded block
/ low complexity embedded image compression algorithm
/ mobile computing
/ notebook computers
/ output bit string
/ Partitioning
/ peak‐signal‐to‐noise‐ratio
/ portable devices
/ PSNR
/ reduced memory image compression algorithm
/ set partitioning embedded block
/ set theory
/ Signal and communications theory
/ Signal processing
/ Signal, noise
/ SPECK
/ SSIM
/ Strings
/ structural‐symmetric‐index‐metric
/ Telecommunications and information theory
/ Transforms
2014
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Reduced memory, low complexity embedded image compression algorithm using hierarchical listless discrete Tchebichef transform
by
Mahapatra, Kamala Kanta
, Pati, Umesh C.
, Senapati, Ranjan Kumar
in
Algorithms
/ Applied sciences
/ Blocking
/ block‐based algorithms
/ Coding, codes
/ Complexity
/ constant bit rate traffic
/ data compression
/ decoding time
/ Detection, estimation, filtering, equalization, prediction
/ discrete transforms
/ dynamic memory requirement
/ encoding time
/ Exact sciences and technology
/ hand held mobile devices
/ hierarchical listless discrete Tchebichef transform
/ HLDTT
/ ILSK algorithm
/ image coding
/ Image compression
/ Image processing
/ Information, signal and communications theory
/ listless set partitioning embedded block
/ low complexity embedded image compression algorithm
/ mobile computing
/ notebook computers
/ output bit string
/ Partitioning
/ peak‐signal‐to‐noise‐ratio
/ portable devices
/ PSNR
/ reduced memory image compression algorithm
/ set partitioning embedded block
/ set theory
/ Signal and communications theory
/ Signal processing
/ Signal, noise
/ SPECK
/ SSIM
/ Strings
/ structural‐symmetric‐index‐metric
/ Telecommunications and information theory
/ Transforms
2014
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Reduced memory, low complexity embedded image compression algorithm using hierarchical listless discrete Tchebichef transform
Journal Article
Reduced memory, low complexity embedded image compression algorithm using hierarchical listless discrete Tchebichef transform
2014
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Overview
Listless set partitioning embedded block (LSK) and set partitioning embedded block (SPECK) are known for their low complexity and simple implementation. However, the drawback is that these block-based algorithms encode each insignificant subband by a zero. This generates many zeros at earlier passes because the number of significant coefficients at higher bitplanes is likely to be very few in a transformed image. An improved LSK (ILSK) algorithm that codes a single zero to several insignificant subbands is proposed. This reduces the length of the output bit string, encoding/decoding time and dynamic memory requirement at early passes. Furthermore, ILSK algorithm is coupled with discrete Tchebichef transform (DTT). This gives rise to a novel coder named as hierarchical listless DTT (HLDTT). The proposed HLDTT has desirable attributes like full embeddedness for progressive transmission, precise rate control for constant bit rate traffic and low complexity for low power applications. The performance of HLDTT is assessed using peak-signal-to-noise-ratio (PSNR) and structural-similarity-index-metric (SSIM). Extensive simulation conducted on various standard test images shows that HLDTT exhibits significant improvement in PSNR values from lower to medium bit rates. At the same time, HLDTT shows improvement in SSIM values on all bit rates.
Publisher
The Institution of Engineering and Technology,Institution of Engineering and Technology,The Institution of Engineering & Technology
Subject
/ Blocking
/ Detection, estimation, filtering, equalization, prediction
/ Exact sciences and technology
/ hierarchical listless discrete Tchebichef transform
/ HLDTT
/ Information, signal and communications theory
/ listless set partitioning embedded block
/ low complexity embedded image compression algorithm
/ PSNR
/ reduced memory image compression algorithm
/ set partitioning embedded block
/ Signal and communications theory
/ SPECK
/ SSIM
/ Strings
/ structural‐symmetric‐index‐metric
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