Fractal Image Coding-Based Image Compression Using Multithreaded Parallelization

Asati, Ranjita; Raghuwanshi, M. M.; Singh, Kavita R.

doi:10.1007/978-981-19-0095-2_53

Information and Communication Technology for Competitive Strategies (ICTCS 2021)

2022

DOI: 10.1007/978-981-19-0095-2_53

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Fractal Image Coding-Based Image Compression Using Multithreaded Parallelization

Ranjita Asati¹,

M. M. Raghuwanshi

Kavita R. Singh³

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“…Research in the field of fractal generation and the use of algorithms and software systems is also used in image compression or decompression, as in [15], where a multithreadingbased parallelism technique using multi-core processors which minimizes the compression duration was proposed. The need for the parallelization of compression techniques was highlighted in [16], where the emphasis was also on a parallel development model similar to the one proposed in the present article.…”

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Possibilities of Use for Fractal Techniques as Parameters of Graphic Analysis

2022

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Image processing remains an area that has impact on the software industry and is a field that is permanently developing in both IT and industrial contexts. Nowadays, the demand for fast computing times is becoming increasingly difficult to fulfill in the case of massive computing systems. This article proposes a particular case of efficiency for a specifically developed model for fractal generations. From the point of view of graphic analysis, the application can generate a series of fractal images. This process is analyzed and compared in this study from a programming perspective in terms of both the results at the processor level and the graphical generation possibilities. This paper presents the structure of the software and its implementation for generating fractal images using the Mandelbrot set. Starting from the complex mathematical set, the component iterations of the Mandelbrot algorithm lead to optimization variants for the calculation. The article consists of a presentation of an optimization variant based on applying parallel calculations for fractal generation. The method used in the study assumes a high grade of accuracy regarding the selected mathematical model for fractal generation and does not characterize a method specially built for a certain kind of image. A series of scenarios are analyzed, and details related to differences in terms of calculation times, starting from the more efficient proposed variant, are presented. The developed software implementation is parallelization-based and is optimized for generating a wide variety of fractal images while also providing a test package for the generated environment. The influence of parallel programming is highlighted in terms of its difference to sequential programming to, in turn, highlight recent methods of speeding up computing times. The purpose of the article is to combine the complexity of the mathematical calculation behind the fractal sets with programming techniques to provides an analysis of the graphic results from the point of view of the use of computing resources and working time.

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“…The interface aspect of the project was also presented in [10]. This environment can generate large fractal images that can later be used, as an input environment, in the field of image compression, as presented in [15].…”

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Possibilities of Use for Fractal Techniques as Parameters of Graphic Analysis

2022

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Fractal Image Coding-Based Image Compression Using Multithreaded Parallelization

Cited by 1 publication

References 12 publications

Possibilities of Use for Fractal Techniques as Parameters of Graphic Analysis

Possibilities of Use for Fractal Techniques as Parameters of Graphic Analysis

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