An Adaptive Texture Enhancement Algorithm for AR Live Screen Based on Approximate Matching
文献类型： 外文期刊
作者： Yang, Panpan 1 ; Ma, Lingfei 1 ; Yin, Chao 1 ; Ping, Yang 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Data Sci & Agr Econ, Beijing 100097, Peoples R China
关键词： Approximate matching; AR live; picture details; adaptive; texture enhancement; matrix reconstruction
期刊名称：INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS （ 影响因子：0.9； 五年影响因子：1.0 ）
ISSN： 2158-107X
年卷期： 2022 年 13 卷 12 期
页码：
收录情况： SCI
摘要： In order to improve the visual effect of AR live video detail texture, an adaptive enhancement algorithm based on approximate matching is proposed. According to the local self-similarity of the original image, the best matching block of the initial super-resolution image block is obtained. After extracting its high-frequency information, the improved singular value decomposition (SVD) is used to embed the watermark into the original super- resolution gray image; And through the watermark extraction and reconstruction matrix, the effective high- frequency detail texture information is obtained, then the final super-resolution image is obtained, and the AR live video detail texture enhancement is completed. The experimental results show that the peak signal-to-noise ratio, structure similarity and feature similarity of the algorithm are high, and the reconstruction effect is good; After detail texture enhancement, the detail texture clarity and edge sharpness of AR live picture are better, and the best visual effect is achieved.
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