Video super-resolution by integrating SAD and NCC matching criterion for multiple moving objects
Journal
10th IASTED International Conference on Computer Graphics and Imaging
Pages
172-177
Date Issued
2008
Author(s)
Abstract
Traditionally, image enlargement is magnified from a single image. Due to the one and only one image, the quality of the reconstructed image is thus constrained. Super-resolution is proposed to use multiple frames as additional information to estimate the high-resolution image. If we have enough low-resolution images with observed subpixels, the high-resolution image can be reconstructed. In this paper, a complete super-resolution model based on k-means motion clustering is proposed for image enlargement with multiple moving objects. Motion masks are first produced for useful image selection and then blocks matching are used to do motion estimation. Two complementary features, sum of absolute difference (SAD) and normalized cross-correlation (NCC), are adopted as the matching criterion. Objects are assumed to move slightly between two consecutive images. Thus, erroneous motion vectors could be corrected by the center of motion clusters. The proposed method achieves better magnification quality than the traditional ones and some previous super resolution works. From the experimental results, both the visual and quantitative improvements, especially in the high frequency, are significant.
Subjects
Block matching; Image enlargement; K-means clustering; Motion estimation; Super-resolution
SDGs
Other Subjects
Block matching; Complementary features; Consecutive images; High frequencies; High-resolution images; Image enlargement; Image selections; K-Means; K-means clustering; Low-resolution images; Matching criterions; Motion vectors; Multiple frames; Multiple moving objects; Normalized cross correlations; Reconstructed images; Single images; Sub-pixels; Sum of absolute differences; Super-resolution; Super-resolution models; Video super resolutions; Color image processing; Computer graphics; Estimation; Face recognition; Motion compensation; Optical resolving power; Water supply systems; Motion estimation
Type
conference paper