Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time texture synthesis by patch-based sampling
ACM Transactions on Graphics (TOG)
Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
Handbook of Pattern Recognition and Computer Vision
Handbook of Pattern Recognition and Computer Vision
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Efficient contour-based shape representation and matching
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Example-based single document image super-resolution: a global MAP approach with outlier rejection
Multidimensional Systems and Signal Processing
An efficient and effective region-based image retrieval framework
IEEE Transactions on Image Processing
Hi-index | 0.00 |
In this paper, we present a novel scheme for parsing images into medium level vision representation: contour curve and region texture. This scheme is integrated with piecewise iterative curve fittingand texture synthesis, in which an original image is analyzed at the representation side so as to obtain contours and local texture exemplars. The contour of each region will be processed piecewise by iterative curve-fitting procedure. At the reconstruction side, transmitted coefficients denoted to structural information of regions will be used to reconstruct contours. Texture synthesis algorithm is adopted to restore the rest. Experimental results indicate that our scheme can be done successfully for images with massive structural and stochastic textures. Compared with JPEG, our method can get more coding gain but remain vast information people care.