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Indexed by:期刊论文

Date of Publication:2012-01-01

Journal:EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING

Included Journals:SCIE、EI、Scopus

Volume:2012

Issue:1

Page Number:1-11

ISSN No.:1687-5281

Key Words:image resizing; similarity measure; SIFT feature; Seam Carving; Scaling

Abstract:On the basis of the Scale Invariant Feature Transform (SIFT) feature, we research the distance measure in the process of image resizing. Through extracting SIFT features from the original image and the resized one, respectively, we match the SIFT features between two images, and calculate the distance for SIFT feature vectors to evaluate the degree of similarity between the original and the resized image. On the basis of the Euclidean distance measure, an effective image resizing algorithm combining Seam Carving with Scaling is proposed. We first resize an image using Seam Carving, and calculate the similarity distance between the original image and its resized one. Before the salient object and content are damaged obviously, we stop Seam Carving and transfer residual task to Scaling. Experiments show that our algorithm is able to avoid the damage and distortion of image content and preserve both the local structure and the global visual effect of the image graciously.