An efficient approach for texture smoothing by adaptive joint bilateral filtering

• Published in: The Visual computer Vol. 39; no. 5; pp. 2035 - 2049
• Main Authors: Ruhela, Riya, Gupta, Bhupendra, Singh Lamba, Subir
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-05-2023; Springer Nature B.V
• Subjects: Approximation; Artificial Intelligence; Computer Graphics; Computer Science; Computer vision; Decomposition; Image filters; Image processing; Image Processing and Computer Vision; Methods; Optimization; Original Article; Smoothing; Texture; Joint bilateral filter; Guidance image; Scale map; Structure component; Texture component
• ISSN: 0178-2789; 1432-2315
• DOI: 10.1007/s00371-022-02462-w

Image decomposition into its structure and texture components is widely used in various image processing and computer vision applications. It is challenging to extract the structure component from an image having intricate texture since it is difficult to extract the structure from the texture that shares similar color intensity or scale. The aim of this work is to smooth the texture component from the image without affecting the significant image structures and to serve the purpose a structure- aware adaptive joint bilateral texture filtering has been employed. Main contribution in this paper is the designing of the guidance image, used in joint bilateral filtering for texture smoothing. To obtain high efficiency by using the proposed method, authors designed a scale map, which provides the size of the spatial kernel at each pixel using the characteristics of the structure and texture components. The experimental section demonstrates the supremacy of the proposed method over the state-of-the-art methods.