Seam Carving and Retargeting applied to Satellite image for Resizing

  • B. Padmaja, Siva Reddy Sonti, Dioline Sara

Abstract

The Remote Sensing pictures gives data about the Earth. The four significant components of a Remotely Sensed Images are Spatial, Spectral, Radiometric and Temporal resolution. The high Spatial resolution images give more information compared to that of the coarse resolution images. The policy of the Satellite images on the free access by the users varies for different countries. In view of the threat to the national security, the access of high resolution pictures are confined and these information is accessible to open with zones of key significance covered or devastated. The present practice is that recognized zones conceal with "dark patches" which will be found in the pictures. So as to stay away from such masking, the strategies for Seam Carving (SC) utilized for digital still images are given a shot in satellite pictures. Object removal is the utilization of Seam Carving on digital pictures. SC is a productive methodology of picture resizing without affecting picture statistics.  To overcome the inefficiencies and emerging counter methods in masking applied to satellite images, we suggested Seam Carving method for object removal to mask regions of strategic importance. We are removing AOI to preserve image. We tried SC to be applied to satellite images data, and studied its efficacy. Ideas of SC additionally recommend that the calculation works proficiently well when applied to pictures of uninformed. The study was made for B/W images only. However, the technique can be extended to color composite also. The AOI selected is regular shape like a rectangle or square, and AOI for irregular shape can also be tried out using this technique.

Published
2020-06-01
How to Cite
B. Padmaja, Siva Reddy Sonti, Dioline Sara. (2020). Seam Carving and Retargeting applied to Satellite image for Resizing. International Journal of Advanced Science and Technology, 29(8s), 4700-4714. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/25542