Iteration-Free Fractal Image Compression Using Pearson’s Correlation Coefficient-Based Classification

Period. Polytech. Elec. Eng. Comp. Sci.

Saleh

et al. 2020

The goal of compression techniques is to reducing the size of data and decreasing the communication cost while transferring data. Fractal based coding technique is widely used to compress images files which provides high compression ratio and good image quality. However, like a compression technique, it is still limited because of the difference of the human perceptions between audio and image files, the long time for searching the best possible domain blocks and many comparisons in the encoding process. For those reasons, Fractal Coding had not broadly studied on audio data. Few years ago, Fractal Coding has been extended to apply on the audio data. In this paper, the application of the Fractal Coding on different types of audio files is investigated. Moreover, the effect of block length on the audio quality and compression performance are highlighted since block length is considered the main factor in the Fractal Coding algorithm. A GTZAN dataset is adopted in the evaluation and the experimental results show that there is an inverse relationship between block length and audio quality and proportional relationship between block length and compression ratio and factor. Furthermore, it can be noticed that the Fractal Coding can be compressed any speech and music audio signal directly with acceptable quality, PSNR 39 dB on average with a high compression ratio around 90 % with compression factor around 10 when the block length is 20 samples.

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Section: Related Workmentioning

confidence: 99%

Investigating the Effect of Block Length on the Performance of Fractal Coding Using Audio Files

Period. Polytech. Elec. Eng. Comp. Sci.

Saleh

et al. 2020

show abstract

“…The adaptation of various speeding up techniques was found more in images than audio domains. These developments can be classified mainly into these categories: a) Optimization of pre-matching process Searching or matching process is considered as the core of the fractal coding technique in which each range block matches with all blocks in the domain pool [6,13]. This process is a time-consuming process.…”

Section: Fractal Coding Enhancementsmentioning

confidence: 99%

“…Pearson's correlation coefficient was also adopted in 2015 with the FIC in a method by Valarmathi et al [13] to classify the domain blocks into three classes.…”

Section: Fractal Image Compressionmentioning

confidence: 99%

Image and audio fractal compression: comprehensive review, enhancements and research directions

Abbas²,

et al. 2019

IJEECS

<p>This study aims to review the recent techniques in digital multimedia compression with respect to fractal coding techniques. It covers the proposed fractal coding methods in audio and image domain and the techniques that were used for accelerating the encoding time process which is considered the main challenge in fractal compression. This study also presents the trends of the researcher's interests in applying fractal coding in image domain in comparison to the audio domain. This review opens directions for further researches in the area of fractal coding in audio compression and removes the obstacles that face its implementation in order to compare fractal audio with the renowned audio compression techniques.</p>

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High capacity, transparent and secure audio steganography model based on fractal coding and chaotic map in temporal domain

Zaidan

et al. 2018

Multimed Tools Appl