Optimized Image Resizing Using Seam Carving and Scaling

Weiming Dong (1) , Ning Zhou (2) , Jean-Claude Paul (3) , Xiaopeng Zhang (1)

1 NLPR - National Laboratory of Pattern Recognition [Beijing]
2 Sony Corporation
3 CAD - Computer Aided Design

We present a novel method for content-aware image resizing based on optimization of a well-defined image distance function, which preserves both the important regions and the global visual effect (the background or other decorative objects) of an image. The method operates by joint use of seam carving and image scaling. The principle behind our method is the use of a bidirectional similarity function of image Euclidean distance (IMED), while cooperating with a dominant color descriptor (DCD) similarity and seam energy variation. The function is suitable for the quantitative evaluation of the resizing result and the determination of the best seam carving number. ifferent from the previous simplex-modeapproaches, our method takes the advantages of both discrete and continuous methods. The technique is useful in image resizing for both reduction/retargeting and enlarging. We also show that this approach can be extended to indirect image resizing.

Mots clés: Image resizing; Image distance function; IMED; DCD

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]

Weiming Dong, Ning Zhou, Jean-Claude Paul, Xiaopeng Zhang. Optimized Image Resizing Using Seam Carving and Scaling. ACM Transactions on Graphics, 2009, 29 (5), 10 p. ⟨10.1145/1618452.1618471⟩. ⟨inria-00515515⟩