CODE TRANSLATION OF SINC - ZOOMING APPLICATION FROM C/C++ TO PYTHON: A COMPUTER ENGINEERING EXPLORATION

Abstract

This thesis delves into the intricate process of translating a Sinc-Zooming application from the C/C++ programming language to Python. The Sinc-Zooming technique used in this research is novel as well as it can be used in signal processing and image manipulation applications to enhance the resolution of the digital content. The objective of this study is to investigate the challenges and opportunities associated with porting a complex algorithmic codebase from C/C++ to Python. By examining the differences between the two languages in terms of syntax, data structures, memory management, and performance characteristics. This research aims to provide a

comprehensive understanding of the intricacies involved in implementing the Sinc- Zooming algorithm in each language.

With a focus on functionality, efficiency, and maintainability, this thesis presents a detailed comparison between the C/C++ and Python implementations. It evaluates the trade-offs and compromises made during the translation process, considering factors such as language expressiveness, library support, and development workflow.

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Furthermore, the implications of the language choice on the overall performance and usability of the Sinc-Zooming application are thoroughly examined. To achieve these goals, the research methodology incorporates theoretical analysis, code profiling, benchmarking, and empirical testing using representative datasets. The results provide valuable insights into the relative advantages and limitations of each language for this specific application domain, while also identifying areas for potential optimization and improvement in both codebases. The findings of this study have substantial implications for computer engineering practitioners and researchers involved in code translation and performance optimization tasks. By contributing to the understanding of the trade-offs between C/C++ and Python in terms of code translation and execution efficiency, this research serves as a valuable resource for informing future decisions regarding language selection and optimization strategies for similar applications.