%0 Journal Article %1 noauthororeditor %A S.Padmavathi, %D 2012 %J International Journal of Computer Science, Engineering and Applications (IJCSEA) %K algorithms networks %N 02 %P 173-182 %R 10.5121/ijcsea.2012.2316 %T Hierarchical Approach for Total Variation Digital Image Inpainting %U http://airccse.org/journal/ijcsea/papers/2312ijcsea16.pdf %V 03 %X The art of recovering an image from damage in an undetectable form is known as inpainting. The manual work of inpainting is most often a very time consum ing process. Due to digitalization of this technique, it is automatic and faster. In this paper, after the user selects the regions to be reconstructed, the algorithm automatically reconstruct the lost regions with the help of the information surrounding them. The existing methods perform very well when the region to be reconstructed is very small, but fails in proper reconstruction as the area increases. This paper describes a Hierarchical method by which the area to be inpainted is reduced in multiple levels and Total Variation(TV) method is used to inpaint in each level. This algorithm gives better performance when compared with other existing algorithms such as nearest neighbor interpolation, Inpainting through Blurring and Sobolev Inpainting.

@article{noauthororeditor, abstract = {The art of recovering an image from damage in an undetectable form is known as inpainting. The manual work of inpainting is most often a very time consum ing process. Due to digitalization of this technique, it is automatic and faster. In this paper, after the user selects the regions to be reconstructed, the algorithm automatically reconstruct the lost regions with the help of the information surrounding them. The existing methods perform very well when the region to be reconstructed is very small, but fails in proper reconstruction as the area increases. This paper describes a Hierarchical method by which the area to be inpainted is reduced in multiple levels and Total Variation(TV) method is used to inpaint in each level. This algorithm gives better performance when compared with other existing algorithms such as nearest neighbor interpolation, Inpainting through Blurring and Sobolev Inpainting.}, added-at = {2018-09-20T15:01:10.000+0200}, author = {S.Padmavathi}, biburl = {https://www.bibsonomy.org/bibtex/29e9cea4fb2cd892dcd84de66f83327c3/ijcsea}, doi = {10.5121/ijcsea.2012.2316}, interhash = {c3071a2575c2b7b1b3e68b390b9144e6}, intrahash = {9e9cea4fb2cd892dcd84de66f83327c3}, issn = {2230-9616}, journal = {International Journal of Computer Science, Engineering and Applications (IJCSEA)}, keywords = {algorithms networks}, month = {June}, number = 02, pages = {173-182}, timestamp = {2018-09-20T15:01:10.000+0200}, title = {Hierarchical Approach for Total Variation Digital Image Inpainting}, url = {http://airccse.org/journal/ijcsea/papers/2312ijcsea16.pdf}, volume = 03, year = 2012 }