Application of computer image processing technology in old artistic design restoration

Chen, Guo, Wen, Zhiyong, and Hou, Fazhong (2023) Application of computer image processing technology in old artistic design restoration. Heliyon, 9 (11). e21366.

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Art designs exhibit different principles, textures, color combinations, and creative skills for vivid thinking visualizations. Art exhibits are far from ages, periods, and creators finding their digital patterns in recent years for resurrection. Degraded periodic artworks are digitally handled for reviving their legacy using digital image processing. This article introduces Textural Restoration Technique (TRT) using Deep Feature Processing (DFP) to augment such innovations. The proposed technique analyses the tampered image for its textures, and available features are extracted. The textures are expected to be sequential based on gradient distribution; the missing gradients are identified from the available features near the region of interest (ROI). The ROI is marked by combining missing and available features from which textural edges are sketched. In this process, recurrent learning is employed for verifying the gradient substitutions for even textures. The texture patterns are classified using high and low accuracy features exhibited between two successive ROIs. First, the learning model is trained using gradient distribution accuracy pursued by the texture completion edge. The second training is pursued by the first distribution, achieving the maximum restoration. The filled features and their gradient positions are marked by moving the ROIs for distinguishing textures. The restoration ratio is computed with high accuracy based on the filled edges.

Item ID: 81473
Item Type: Article (Research - C1)
ISSN: 2405-8440
Keywords: Art design, Edge detection, Gradient distribution, Recurrent learning, Texture classification
Copyright Information: © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (
Date Deposited: 05 Mar 2024 23:40
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing @ 80%
36 CREATIVE ARTS AND WRITING > 3606 Visual arts > 360699 Visual arts not elsewhere classified @ 20%
SEO Codes: 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220499 Information systems, technologies and services not elsewhere classified @ 100%
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