DOI: 10.7763/IJCTE.2012.V4.479
Survey on Gap Filling in Satellite Images and Inpainting Algorithm
Abstract—Gap filling in satellite images aims at filling gaps occur due to instrumentation error, losses of image data during transmission; such area involve reconstruction in satellite image referred as gapped area in satellite images. Gap filling in satellite images can be classified as single source, multi-source and hybrid methods. Multi-source methods involve more than one image for reconstruction. Single source methods use same image information to fill gaps. Hybrid method combines both of the above approach. There is ongoing research in the field of inpainting also aimed at reconstruction of images in plausible way. Inpainting methods can be classified as based on PDE, based on exampler based inpainting and based on classification of blocks. Here survey and comparative study of gap filling methods and image inpainting methods are done.
Index Terms—Inpainting, reconstruction, satellite image.
Manali Desai is with the Chandubhai S. Patel Institute of Technology, GUJARAT, INDIA -388421 (e-mail: manalisdesai@ gmail.com).
Amit Ganatra is with the Chandubhai S. Patel Institute of Technology, GUJARAT, INDIA (e-mail: amitganu@yahoo.com).
Cite: Manali Desai and Amit Ganatra, "Survey on Gap Filling in Satellite Images and Inpainting Algorithm," International Journal of Computer Theory and Engineering vol. 4, no. 3, pp. 341-345, 2012.