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

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)).Theeffectivenessoftheproposed method issuccessfully demonstrated by qualitative and quantitative evaluation. Furthermore, the evaluation methods used in much inpainting research are discussed.

• Type: Conference
• Year: 2009
• Where: PSIVT
• Authors: Norihiko Kawai, Tomokazu Sato, Naokazu Yokoya
• Keywords: Image Inpainting Techniques, Multimedia, Pattern Similarity, PSIVT 2009, Similarity Considering Brightness