Image Clarity Enhancer Using CNN and Quantum Networking

View Sample PDF

Author(s): Dhrumit Shah (SRM Institute of Science and Technology, India), Harsh Srivastava (SRM Institute of Science and Technology, India)and K. Nimala (SRM Institute of Science and Technology, India)
Copyright: 2025
Pages: 16
Source title: Multidisciplinary Applications of AI and Quantum Networking
Source Author(s)/Editor(s): Christo Ananth (Samarkand State University, Uzbekistan), Osamah Ibrahim Khalaf (Al-Nahrain University, Iraq)and Jose Anand (KCG College of Technology, India)
DOI: 10.4018/979-8-3693-9336-9.ch010

Keywords: Artificial Intelligence / Engineering Science Reference / Knowledge Management and Library Science / Quantum Information & Computing

Purchase

View Image Clarity Enhancer Using CNN and Quantum Networking on the publisher's website for pricing and purchasing information.

Abstract

Image clarity enhancement, a process employing sophisticated techniques like deblurring, super-resolution, and contrast enhancement, aims to improve the sharpness and visual quality of digital images. These methods find applications across diverse fields such as medical imaging, surveillance, and consumer electronics, facilitating the generation of clearer and more detailed images for various purposes. Continual advancements in technology and artificial intelligence are pivotal in pushing the boundaries of image clarity enhancement, thereby enriching the overall visual experience in digital imaging. Furthermore, the integration of quantum networking holds promise in revolutionizing image clarity enhancement by leveraging quantum algorithms for optimized processing and analysis, potentially unlocking unprecedented levels of image refinement and detail extraction.

The IRMA Community

Research IRM

Image Clarity Enhancer Using CNN and Quantum Networking

Purchase

Abstract

Related Content

IRMA Sponsors