A Comparative Analysis of Data Compression Techniques

Boukari, Souley; Das, Prodipto; Tanko, Shirley

doi:10.5958/2322-0465.2014.01118.6

Cited by 4 publications

(5 citation statements)

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“…The efficiency of the algorithm can be improved if the data uses only two symbols (e.g. 0 and 1) in its bit pattern and frequency of one symbol should be more than the other (Souley et. al, 2014).…”

Section: Run Length Encoding (Rle)mentioning

confidence: 99%

“…al, 2014). Figure 2: Run-length encoding for two symbols (Souley et. al, 2014) In this algorithm, repeated pixel can be substituted by a number that indicate which pixel value is repeated and how many times it is repeated (Singh and Devgon, 2019).…”

Section: Run Length Encoding (Rle)mentioning

confidence: 99%

“…Before assigning bit patterns, each character is assigned some weight based on its frequency of use. Assume frequency of characters as shown in Commencing from root as shown in Figure 4, a character code is found by pursuing the branches leading to character which is the bit value of each branch taken sequentially (Souley et. al, 2014).…”

Section: Huffman Encodingmentioning

confidence: 99%

“…Dictionary based encoding Others Figure 4: Reduced Huffman Coding (Souley et. al, 2014) Huffman encoding algorithms use the source alphabet's probability distribution for code word symbol development.…”

Section: Entropy Based Encodingmentioning

confidence: 99%

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Evaluation of Lossless Algorithms for Data Compression

Sharma¹,

Batra²

2020

Ethics and Information Technology

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Section: Run Length Encoding (Rle)mentioning

confidence: 99%

Section: Run Length Encoding (Rle)mentioning

confidence: 99%

Section: Huffman Encodingmentioning

confidence: 99%

Section: Entropy Based Encodingmentioning

confidence: 99%

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Evaluation of Lossless Algorithms for Data Compression

Sharma¹,

Batra²

2020

Ethics and Information Technology

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“…Run-length encoding does not reduce the average symbol size when compared with Huffman coding. It also does not need dictionary of reference as in Lempel-Ziv coding (Souley et al, 2014).…”

Section: Art Of Video Compression and Its Terminologymentioning

confidence: 99%

Intelligent systems for redundancy removal with proficient run-length coding and statistical analysis using regression

Prakash

Nagarajan

2019

IJISTA

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The surveillance video aspect has been one of the key technologies in various tactical monitoring. However, the quantum of analysis with proper implication of video quality subjected to enormous amount of time might degrade its error metrics. So in order to analyse this quantum has been made with the hierarchical order wherein four videos where taken and its peak errors where being analysed. The significance of the work is dealt with feature extraction and then comparison with input and extracted texture followed by feature analysis with cosine angle distance. Finally, a multiple regression analysis has been developed with peak signal to noise ratio (PSNR) as dependant variable where video size and execution time are taken as independent variable. The mathematical significance of regression has been based on prediction equation in order to near optimality of PSNR value for varying video size and execution time.

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