£107.81

Springer Iterative Identification and Restoration of Images 118

Name: Springer Iterative Identification and Restoration of Images 118
Brand: Springer
Price: 107.81 GBP
Availability: InStock

Graphics & Multimedia

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Description

Recovering a perfect image from a degraded version is one of the most interesting challenges in image processing. This monograph from the Springer International Series in Engineering and Computer Science addresses the fundamental problem of how to sharpen images when information is close to being recognizable but requires further refinement. This text focuses on the two essential steps required to achieve high-quality results: image identification and image restoration. By studying these processes, readers can learn how to estimate the properties of imperfect imaging systems to improve visual clarity. It provides a technical deep dive into the methods used to move from a degraded state to a desired, clear image. Whether you are studying computer science or working in graphics and multimedia, this book offers a structured look at the mathematics and logic behind image recovery. It is a specialized resource for those looking to understand how to handle imperfect imaging data through systematic identification and restoration techniques.

Key Features

Covers the essential two-step process of image identification and image restoration for better visual results.

Provides methods to estimate the specific properties of imperfect imaging systems to improve image quality.

Addresses the technical challenge of recovering perfect images from degraded or blurred versions.

Part of the Springer International Series in Engineering and Computer Science, volume 118.

Designed for professionals and students focusing on graphics, multimedia, and image processing.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1461367786
Category: Books > Subjects > Computing & Internet > Programming > Graphics & Multimedia
Domain: Amazon UK
Publication Date: 09 May 2013
Listed Since: 20 September 2013

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Springer Iterative Identification and Restoration of Images 118

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