International Journal of Innovative Research in Computer and Communication Engineering

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TITLE A Deep Learning–Driven Artificial Intelligence Approach to Digital Image Processing Optimization
ABSTRACT Artificial intelligence (AI) introduces a new research perspective to digital image processing. However, AI has not yet been widely integrated into the teaching of digital image processing in colleges and universities. Current challenges such as outdated teaching content, limited instructional methods, and simplistic experimental designs reduce teaching effectiveness and hinder the development of innovative and comprehensive talents. Meanwhile, digital image processing technology provides expanded possibilities for communication engineering, making communication more convenient and diversified. Applications such as video conferencing and image transmission enable people to overcome time and space limitations, facilitating virtual interactions and creating broader communication opportunities. Despite these advancements, many challenges and research directions remain to be explored. Therefore, this study aims to develop a comprehensive understanding of both traditional digital image processing methods and deep learning–based approaches, in order to enhance project implementation skills and scientific research capabilities, and to provide reference for related future studies.
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AUTHOR M.PUSHPALATHA, J.SUGANYA Assistant. Professor, Department of Computer Science and Computer Applications, Padmavani Arts and Science College for Women(Autonomous), Salem, Tamil Nadu, India
VOLUME 182
DOI DOI: 10.15680/IJIRCCE. 2026.1403026
PDF pdf/26_A Deep Learning–Driven Artificial Intelligence Approach to Digital Image Processing Optimization.pdf
KEYWORDS
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