DocumentCode :
3778952
Title :
Image resizing for thumbnail images by using seam carving
Author :
Shubhangi Jadhav;Priyanka Dighe
Author_Institution :
Department of Instrumentation Engg., DYPIET, Pimpri, Pune, India
fYear :
2015
Firstpage :
636
Lastpage :
640
Abstract :
Image Processing is an important technology for performing image operations. The analysis and manipulation on a digitized image helps to improve its quality. Image Processing offers a number of techniques to process an image such as Image Resizing, Image Enhancement etc. Image resizing is a key process for displaying visual media on different devices and it has attracted much attention in the past few years. This paper defines preserving an important region (energy) of an image, minimizing distortions, and improving efficiency. For image resizing energy functions are used to preserve original information of image. Image Resizing can be more effectively reached with a better interpretation of image semantics. A new image importance map and a new seam criterion for image retargeting presented here. Content-aware image resizing is a promising theme in computer vision and image processing. The seam carving method can effectively achieve image resizing which needs to define image importance to detect the salient context of images. This paper represents image resizing of thumbnail images by using seam carving.
Keywords :
"Feature extraction","Image segmentation","Image color analysis","Image edge detection","Nonlinear distortion","Object detection"
Publisher :
ieee
Conference_Titel :
Energy Systems and Applications, 2015 International Conference on
Type :
conf
DOI :
10.1109/ICESA.2015.7503427
Filename :
7503427
Link To Document :
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