Artificial Intelligence Application for Image Super Resolution

Here is a summary of the key points:1. High-resolution image generation: The book focuses on the challenge of obtaining high-resolution images from single or multiple low-resolution images. This is a significant problem in image processing, and the book explores various techniques and approaches to address it.2. Integration of image interpolation and super-resolution: Unlike other resources that treat image interpolation and super-resolution as separate topics, this book presents interpolation as a fundamental component within the super-resolution reconstruction process. By establishing a connection between the two, it offers a more comprehensive understanding of the overall image enhancement process.3. Comparison of different approaches: The book compares and contrasts the two major trends in image interpolation—polynomial-based methods and inverse problem-based approaches. By presenting this comparison, readers gain insights into the strengths, weaknesses, and suitability of each approach for different scenarios.4. Image registration and fusion: Two dedicated chapters in the book cover the complementary steps of image registration and image fusion.