ISSUES OF OPTIMAL PROCESSING OF VISUAL INFORMATION

Abstract

The processing of visual information plays a crucial role in various domains, including artificial intelligence, medical imaging, and computer vision. Despite significant advancements in computational power and algorithms, challenges persist in optimizing the accuracy, speed, and efficiency of visual data processing. This paper explores key issues related to optimal processing of visual information, including computational complexity, real-time performance, noise reduction, and data compression. It also discusses potential solutions and future research directions to enhance visual data analysis and interpretation.