Comparative analysis of lossless compression techniques in efficient DCT-based image compression system based on Laplacian Transparent Composite Model and An Innovative Lossless Compression Method for Discrete-Color Images

Poolakkachalil, Thafseela Koya; Chandran, Saravanan; Muralidharan, R.; Vijayalakshmi, K.

doi:10.1109/icbdsc.2016.7460360

Cited by 3 publications

(5 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performance based on hybrid method shows better PSNR value compares to JPEG standard and it can produce high image quality at low bit rate situation. In 2016, Poolakkachalil et.al [12] perform an analysis of lossless compression techniques in Efficient DCT-based image compression system based on Laplacian Transparent Composite Model (LPTCM) and Innovative Lossless Compression Method for discrete -colour images. They applied the algorithm of Transparent Composite Coding (TCC) that co nsist of Contex Adaptive Layer Based Bi-Lev el Image Coding (CALBIC) and Contex Adaptive Layer-Based Composite Arithmetic Coding (CALCAC) scheme which are able to capture better data dependencies in a block and employs multi-symbol arithmetic coding to improve the problem of low throughput respectively.…”

Section: Image Compression Overviewmentioning

confidence: 99%

“…In lossy compression, vector quantization (VQ) is known as one of the popular lossy image compression techniques. This is due to the VQ has a simple decoding structure and can provide high compression ra tio in image coding systems [12]. VQ can be regarded as the process of finding the nearest vector in the codebook to the waiting ve ctor.…”

Section: Lossy Quantizationmentioning

confidence: 99%

“…When the nearest vector is given, only the index of the vector in the codebook is transmitted. Although the information source of VQ is non-memorable, it always superior compared to scale quantization (SQ) due to the high compressio n ratio that VQ can provide [12].…”

Section: Lossy Quantizationmentioning

confidence: 99%

See 2 more Smart Citations

A Comparative Study on Improvement of Image Compression Method using Hybrid DCT-DWT Techniques with Huffman Encoding for Wireless Sensor Network Application

Hussin¹,

Po'ad²,

Joret³

2019

IJIE

View full text Add to dashboard Cite

Nowadays, the demands on the usage of wireless network are increasing rapidly from year to year. Wireless network is a large scale of area where many nodes are connecting to each other to commun icate using a device. Primarily, wireless network also tend to be as a link to transmit and receive any multimedia such as image, sound, video, document and etc. In order to receive the transmitted media correctly, most type of media must be compressed before being transmitted and decompressed after being received by the device or else the device used must have the ability to read the media in a compressed way. In this paper, a hybrid compression of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) with Huffman encoding technique are proposed for Wireless Sensor Network (WSN) application. Data compression is very useful to remove the redundant data and reduce the size of image. After conducting a comprehensive observation, it is found that hybrid compression is suitable due to the process consist of the combination of multiple compression techniques which suits for Wireless Sensor Network's application focusing on ZigBee platform.

show abstract

Section: Image Compression Overviewmentioning

confidence: 99%

Section: Lossy Quantizationmentioning

confidence: 99%

See 1 more Smart Citation

A Comparative Study on Improvement of Image Compression Method using Hybrid DCT-DWT Techniques with Huffman Encoding for Wireless Sensor Network Application

Hussin¹,

Po'ad²,

Joret³

2019

IJIE

View full text Add to dashboard Cite

show abstract

“…This will ensure the required level of data reliability in terms of bandwidth limitations of wireless data transmission channels, which in turn will allow to give an adequate assessment of the informativeness of the received data of the video information resource. coding video information resources, built on the conceptual basis of algorithms of the JPEG platform [18][19][20][21]. However, these technologies have a number of problematic factors [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Method for quantitative criterion based transformation of the video information alphabet

Khmelevskiy

Tupitsya

Хмелевська

et al. 2022

reks

View full text Add to dashboard Cite

Subject of study: technologies implemented in modern video coding algorithms to ensure the appropriate level of reliability in the conditions of their compact presentation. The goal is to develop a technology for transforming the alphabet of a video information based on a quantitative criterion while ensuring the required quality in networks. Objectives: to formulate requirements to video images in dynamic video surveillance systems; to analyze the existing factors leading to an imbalance between the compression and quality characteristics of existing video coding algorithms; to develop a technology for transforming the alphabet of a video information based on a quantitative criterion (attribute) for the best presentation of the encoded data; to develop a mathematical model for the formation of a quantitativeindicator for the transformation of the video images; to analyze the effectiveness of using the developed mathematical model for the formation of a quantitative indicator to provide the required trustworthiness of data for the video information resource; to assess the effectiveness of the developed technology for transforming the original message in terms of a quantitative indicator to ensure the best presentation of the encoded data; to investigate the dynamics of the probabilistic and statistical characteristics of the original message as a result of transformation according to the quantitative criterion of the significance of the elements. The research methods: compression coding methods implemented on the basis of the JPEG algorithms. The research results: a new approach has been proposed based on the transformation of the encoded alphabet of data by use of a quantitative criterion. A mathematical model has been developed for the formation of a quantitative attributethat determines the significance of the elements of the original message. Conclusions. A technology has been developed for transforming the alphabet of the original message, which allows creating conditions for a more profitable presentation of the encoded data due to a significant increase in the dynamic range of probabilistic and statistical characteristics for the transformed message while ensuring the required level of video image quality.

show abstract

“…Recently, image coding methods based on conceptual approaches defined by the JPEG platform have become quite active [14][15][16][17][18][19][20][21][22][23]. This means that the classic stages of processing are used to encode data of information resources (images) -the transition from one color model to another, subsampling, orthogonal transformations, quantization, etc.…”

Section: Introductionmentioning

confidence: 99%

Development of the external restructuring method to increase the efficiency of information resource data encoding

Khmelevskiy

Tupitsya

Махдi

et al. 2021

soi

View full text Add to dashboard Cite

The existing methods of data restructuring, implemented in modern algorithms for coding data of information resources, are investigated. The problematic aspects of using methods of external data restructuring are analyzed from the standpoint of ensuring the appropriate level of reliability. The main ones among them are the possibility of losing key information during the reconstruction of the original message, which can lead to the adoption of erroneous and untimely decisions by the relevant security sector authorities to overcome crisis situations. Requirements for information resources used in the interests of security sector bodies in the context of the need for a prompt response to overcoming crisis situations are being formed. In order to increase the efficiency of data coding of an information resource from the position of a compact representation in conditions of ensuring an appropriate level of quality, a method of external restructuring is being developed, which additionally allows to eliminate psycho-visual, statistical and structural redundancy of the message. External restructuring of data means the formation of a new message alphabet (color palette for an image). A new approach to restructuring these information resources is proposed, the essence of which is to determine the significance of individual elements in the initial message by a quantitative indicator, and then adjust the power of the original message, which allows creating more favorable conditions for further coding.

show abstract

Comparative analysis of lossless compression techniques in efficient DCT-based image compression system based on Laplacian Transparent Composite Model and An Innovative Lossless Compression Method for Discrete-Color Images

Cited by 3 publications

References 13 publications

A Comparative Study on Improvement of Image Compression Method using Hybrid DCT-DWT Techniques with Huffman Encoding for Wireless Sensor Network Application

A Comparative Study on Improvement of Image Compression Method using Hybrid DCT-DWT Techniques with Huffman Encoding for Wireless Sensor Network Application

Method for quantitative criterion based transformation of the video information alphabet

Development of the external restructuring method to increase the efficiency of information resource data encoding

Contact Info

Product

Resources

About