文件列表:

TextureSynthesis\Image Inpainting (0, 2006-12-20)
TextureSynthesis\Image Inpainting\demo.m (3108, 2006-12-20)
TextureSynthesis\Image Inpainting\examples (0, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\branches (0, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\branches\branches.png (112990, 2006-12-17)
TextureSynthesis\Image Inpainting\examples\branches\branches.psd (410724, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\branches\branches_mask.png (3440, 2006-12-17)
TextureSynthesis\Image Inpainting\examples\bungee (0, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\bungee\bungee.png (134035, 2006-12-07)
TextureSynthesis\Image Inpainting\examples\bungee\bungee.psd (389726, 2006-12-16)
TextureSynthesis\Image Inpainting\examples\bungee\bungee_mask.png (4374, 2006-12-07)
TextureSynthesis\Image Inpainting\examples\ellipses (0, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\ellipses\ellipses.png (6185, 2006-12-17)
TextureSynthesis\Image Inpainting\examples\ellipses\ellipses.psd (43534, 2006-12-17)
TextureSynthesis\Image Inpainting\examples\ellipses\ellipses_mask.png (3443, 2006-12-17)
TextureSynthesis\Image Inpainting\examples\hollywood (0, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\hollywood\hollywood.png (541765, 2006-12-17)
TextureSynthesis\Image Inpainting\examples\hollywood\hollywood.psd (1724268, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\hollywood\hollywood_mask.png (7406, 2006-12-17)
TextureSynthesis\Image Inpainting\examples\kanizsa (0, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\kanizsa\kanizsa.png (9981, 2006-12-17)
TextureSynthesis\Image Inpainting\examples\kanizsa\kanizsa.psd (63876, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\kanizsa\kanizsa_mask.png (3507, 2006-12-17)
TextureSynthesis\Image Inpainting\examples\panorama (0, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\panorama\panorama.png (1426163, 2006-12-16)
TextureSynthesis\Image Inpainting\examples\panorama\panorama.psd (3615570, 2006-12-16)
TextureSynthesis\Image Inpainting\examples\panorama\panorama_mask.png (13214, 2006-12-16)
TextureSynthesis\Image Inpainting\examples\scratches (0, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\scratches\scratches.png (320115, 2006-12-16)
TextureSynthesis\Image Inpainting\examples\scratches\scratches.psd (991640, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\scratches\scratches_mask.png (9024, 2006-12-16)
TextureSynthesis\Image Inpainting\examples\triangle (0, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\triangle\triangle.png (4023, 2006-12-17)
TextureSynthesis\Image Inpainting\examples\triangle\triangle.psd (60926, 2006-12-20)
TextureSynthesis\Image Inpainting\examples\triangle\triangle_mask.png (5886, 2006-12-17)
TextureSynthesis\Image Inpainting\findmatch.m (1217, 2006-12-17)
TextureSynthesis\Image Inpainting\inpaint.m (8805, 2006-12-20)
TextureSynthesis\Image Inpainting\showresults.m (1572, 2006-12-20)
TextureSynthesis\Image Quilting (0, 2006-12-20)
TextureSynthesis\Image Quilting\findmatch.m (911, 2006-11-19)
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+---------------------------------------------------------------+ | EN 256: Computer Vision | | Texture Synthesis and Manipulation | | | | Douglas R. Lanman | | http://mesh.brown.edu/dlanman | | dlanman@brown.edu | | Dec. 19, 2006 | +---------------------------------------------------------------+ +---------------------------------------------------------------+ > Introduction This archive contains the presentations, source code, and results produced for my final project in EN 256: Computer Vision. More specifically, this project focused on "Texture Synthesis and Manipulation". If we view a given image as a sample from a local stationary random process, then the goal of texture synthesis is to generate additional images which appear (to a human observer) to be produced from the same underlying distribution. Applications include non-periodic texture mapping for graphics, as well as inpainting for photographic restoration. For reasons discussed in my project proposal, I decided to implement Efros and Freeman's Image Quilting algorithm – a particularly simple, yet effective, patch-based solution. In addition, I extended this algorithm to allow image inpainting using Exemplar-based Image Inpainting by Criminisi, Perez, and Toyama. +---------------------------------------------------------------+ > Contents \TextureSynthesis: Lanman-Proposal.pdf project proposal Lanman-Progress-Report.pdf midterm progress report Lanman-Final-Report.pdf final presentation README this file \TextureSynthesis\Image Quilting: imquilt.m main image quilting script findmatch.m finds closest-matching block mincut.m implements minimum cut framework textran.m main texture transfer script transfer.m finds luminance-weighted block \TextureSynthesis\Image Inpainting: demo.m image inpainting demo script inpaint.m main image inpainting function findmatch.m finds closest-matching block showresults.m displays current results +---------------------------------------------------------------+ > Image Quilting My implementation of Efros and Freeman's Image Quilting algorithm is included in "\TextureSynthesis\Image Quilting". To run the demo, open MATLAB and change the current directory to this location. Next, run the following command at the Matlab prompt. >> imquilt Note that three figure windows are created, containing: (1) the source texture, (2) the synthesized texture, and (3) the boundary cuts obtained using the minimum cut criterion. To modify the standard demo, edit lines 6-13 of "imquilt.m". The comments in the provided m-file explain the general usage of each parameter. As described in Efros and Freeman's paper, the main image quilting procedure can be extended to allow texture transfer. At a basic level, this simply requires selecting blocks based on the overlapping texture, as well as an underlying luminance function. This procedure is implemented in "textran.m". To view the basic demo, run the following command at the Matlab prompt: >> textran Two output figures are created, containing: (1) the source texture and (2) the texture transfer results. To modify the basic demo parameters, edit lines 5-14 of "textran.m". +---------------------------------------------------------------+ > Image Inpainting My implementation of Exemplar-based Image Inpainting by Criminisi et al. is included in "\TextureSynthesis\Image Inpainting". To run the demo, open MATLAB and change the current directory to this location. Run the following command at the Matlab prompt. >> demo Note that two output figures are created, containing: (1) the real-time inpainting progress and (2) the final inpainting results. In the first figure, the left subfigure shows the current inpainting progress (as well as the mask), whereas the right subfigure shows the current "confidence" image estimate (as described in Criminisi et al.). Edit lines 6-7 of "demo.m" and/or lines 3-17 of "inpaint.m" to alter the basic demo parameters. See the comments in the source code for additional explanation. +---------------------------------------------------------------+ > Update Information This project will be released on MATLAB Central in late December of 2006. Updates for this project will also be available at: http://mesh.brown.edu/dlanman/courses.html +---------------------------------------------------------------+

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