Conference Paper

Image Inpainting Considering Brightness Change and Spatial Locality of Textures and Its Evaluation.

DOI: 10.1007/978-3-540-92957-4_24 Conference: Advances in Image and Video Technology, Third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings
Source: DBLP

ABSTRACT Image inpainting techniques have been widely investigated to remove undesired objects in an image. Conventionally, missing
parts in an image are completed by optimizing the objective function using pattern similarity. However, unnatural textures
are easily generated due to two factors: (1) available samples in the image are quite limited, and (2) pattern similarity
is one of the required conditions but is not sufficient for reproducing natural textures. In this paper, we propose a new
energy function based on the pattern similarity considering brightness changes of sample textures (for (1)) and introducing
spatial locality as an additional constraint (for (2)). The effectiveness of the proposed method is successfully demonstrated
by qualitative and quantitative evaluation. Furthermore, the evaluation methods used in much inpainting research are discussed.

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