Speeding-Up Fractal Colored Image Compression Using Moments Features

Al-Hilo, Eman A.; George, Loay E.

doi:10.1109/dicta.2008.18

Cited by 13 publications

(11 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where ′ r k is the k th retrieved range block; Scl j is the scale parameter of the j th range block; d i is the value of the i th sample of the arbitrary domain block which is a block with samples has any initial values such as 0; d r , are the mean of the arbitrary domain and range blocks, respectively. The proposed model in this study adopts the modified Fractal Coding proposed by [22,25].…”

Section: Fractal Parameters and Rms Metricmentioning

confidence: 99%

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

Ali

George

Saleh

et al. 2020

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

View full text Add to dashboard Cite

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.

show abstract

Section: Fractal Parameters and Rms Metricmentioning

confidence: 99%

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

Ali

George

Saleh

et al. 2020

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

View full text Add to dashboard Cite

show abstract

“…Speeding up fractal colored image compression is proposed by Al-Hilo and George [22]. They adopt (Y,U,V) component instead of (R,G,B) with 24-bits/pixel resolution to increase the compression rate and moment features as a descriptor for range and domain blocks to speeding up the fractal encoding process.…”

Section: Fractal Image Compressionmentioning

confidence: 99%

“…George and Al-Hilo [24] presented an enhancement to the previous method proposed in [22], in which the compression ratio is increased by 3% by using DPCM and shift coding for encoding the range mean and scale parameters. In addition, this method decreases encoding time by 66% and enhances the PSNR at around 5.3%.…”

Section: Fractal Image Compressionmentioning

confidence: 99%

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

Ali

Abbas²,

George

et al. 2019

IJEECS

View full text Add to dashboard Cite

<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>

show abstract

“…Applications of fractal coding to color images [36][37][38] are also studied. It is fortunate that human visual system uses only three color channels to encode color information that is sent to the brain.…”

Section: Literature Reviewmentioning

confidence: 99%

Fractal based Image Compression Techniques

Kadam¹,

Rathod²

2017

IJCA

View full text Add to dashboard Cite

Fractal image compression offers high compression ratios and quality image reconstruction. It uses various techniques as the fractal with DCT, wavelet, neural network, genetic algorithms, quantum acceleration etc. Additionally, because fractals are infinitely magnifiable, fractal compression is resolution independent and so a single compressed image can be used efficiently for display in any image resolution including resolution higher than the resolution of the original image. Breaking an image into pieces and identifying selfsimilar ones is the main principle of the approach. In this paper, the different issues in fractal image compression as partitioning, larger encoding time, compression ratio, quality of the reconstructed image, decoding time, SSIM(Structured Similarity Index) are discussed and highlighted. The various areas for improvement as larger encoding time and PSNR are also suggested. The various parameters for evaluating the performance of these techniques as PSNR, compression ratio, encoding time, and decoding time are also suggested. Comparison of Fractal techniques for color image, texture and satellite image is done using different parameters as compression time, compression ratio and PSNR. The hybrid method which combines Fractal quad tree with wavelet and Huffman coding is implemented and compared different parameters as compression ratio and the compression time of the proposed method with the existing methods.

show abstract

Speeding-Up Fractal Colored Image Compression Using Moments Features

Cited by 13 publications

References 8 publications

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

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

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

Fractal based Image Compression Techniques

Contact Info

Product

Resources

About