Digital Image Restoration Based on Multicontour Batch Scanning

Abstract

In order to explore the problem of digital image restoration, the authors propose a research on digital image restoration based on multicontour batch scanning. This method recommends key technical problems and solutions based on information represented by multicontour batch scans, exploring research in digital image restoration. Research has shown that the research on digital image restoration based on multicontour batch scanning is about 40% more efficient than traditional methods. Aiming at the new application of digital image inpainting, the application of image inpainting in image compression is studied in depth, and the technical principles of image inpainting and image compression are complemented.

Rapid Classification of Massive Images Based on Cloud Computing Platform

“…With the progress of information technology and the rapid development of image data acquisition technology, a large amount of multimedia data is generated every day in all walks of life, among which digital image data accounts for a large part [1][2][3][4][5][6]. Face with the explosive growth of digital image data, the traditional stand-alone mode of image processing has exposed many problems, such as slow processing speed and poor concurrency, etc.…”

Retracted: Digital Image Restoration Based on Multicontour Batch Scanning

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This article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.

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