Adaptive amplification of image texture boundaries

Jian Wei; Xiaoyuan Guo; Jiaqi Guo; Guolan Ma; Jingyan Wei; Qi Wang; Shigang Wang; Yan Zhao

doi:10.1117/12.2680111

27 June 2023 Adaptive amplification of image texture boundaries

Jian Wei, Xiaoyuan Guo, Jiaqi Guo, Guolan Ma, Jingyan Wei, Qi Wang, Shigang Wang, Yan Zhao

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127050T (2023) https://doi.org/10.1117/12.2680111
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

The texture boundaries normally have frequent co-occurrence in natural images, but existing image enhancement techniques for the most parts focus on sharpening the edges, i.e., intensity discontinuities. Moreover, these approaches often suffer from noise over-emphasis and extra artifact production. In this paper, we propose an adaptive texture boundary boosting algorithm. The proposal exploits the co-occurrence filter for dual-layer decomposition and pixel-wise amplification factor calculation for image synthesis. This leads to a various-scale enhancement framework, which allows our method to only highlight those co-occurrent features while avoiding unsalient edges and noise, gradient reversals, as well as halos. Both subjective and objective comparisons using different detail stretching schemes demonstrate the effectiveness of the presented approach.

Citation Download Citation

Jian Wei, Xiaoyuan Guo, Jiaqi Guo, Guolan Ma, Jingyan Wei, Qi Wang, Shigang Wang, and Yan Zhao "Adaptive amplification of image texture boundaries", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127050T (27 June 2023); https://doi.org/10.1117/12.2680111

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