Image restoration is a process in digital image processing that aims to recover a clean, original image from a degraded version by removing noise and correcting distortions. It involves mathematical modeling of the degradation process and employs algorithms to reverse its effects, enhancing image quality and fidelity.

Image Restoration

Image restoration

Digital Image Processing involves the manipulation and analysis of digital images through computational techniques to enhance, transform, or extract meaningful information. It is essential in various applications such as medical imaging, remote sensing, and computer vision, enabling more accurate and efficient interpretation of visual data.

digital image processing

Clean image

original image

degraded version

removing noise

correcting distortions

Mathematical modeling is a process of creating abstract representations of real-world systems using mathematical language and structures to predict and analyze their behavior. It is a crucial tool in various fields, enabling researchers and professionals to simulate complex phenomena, optimize solutions, and make informed decisions based on quantitative data.

mathematical modeling

degradation process

Algorithms are step-by-step procedures or formulas for solving problems or performing tasks, and are fundamental to computer science and artificial intelligence. They optimize processes by providing clear instructions that can be executed by machines to achieve desired outcomes efficiently and effectively.

Your Courses

Your Lessons