Title :
Image Resizing Based on Geometry Preservation with Seam Carving
Author :
Zhou, Fan ; Wang, Ruomei ; Liu, Yu ; Yun Liang
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Vat-Sen Univ., Guangzhou, China
Abstract :
When an image or a video is transformed to an aspect ratio deferent from its original size, information lost is inevitable no matter what method is used, thus, how to keep the most attractive contents and minimize the visual distortion during the resizing process is the key issue. To address this problem, this paper proposes an object geometry preservation method based on the seam carving method. We first define a framework that measures the importance of geometry feature in the source material, then a new energy function is presented with object geometry constraint, according to the new energy function, an optimized seam carving method is used to minimize distortion while resizing the source material. The experiment results show that our method is better to transform a variety of source images to a different display size than conventional resizing methods.
Keywords :
computational geometry; image enhancement; energy function; image resizing; object geometry constraint; object geometry preservation method; resizing process; seam carving method; visual distortion; Boundary conditions; Educational institutions; Feature extraction; Geometry; Humans; Image edge detection; Visualization; energy function; geometry preservation; image resizing; seam carving;
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2172-3
DOI :
10.1109/TrustCom.2012.181