WebOct 9, 2024 · Blind image deblurring is a conundrum because there are infinitely many pairs of latent images and blur kernels. To get a stable and reasonable deblurred image, proper prior knowledge of the ... WebResearch Interest. My research interest includes image deblurring, image/video enhancement and analysis, and related vision problems. I am looking for several new Ph.D. students working on some innovative and exciting computer vision research and projects. Please contact me if you are interested.
Publications · Yuhui Quan - GitHub Pages
WebAbstract. This paper presents a blind image deblurring algorithm by utilizing Gaussian curvature (GC) of the image surface. GC is an intrinsic geometric feature and related to the developability of the surface. In recent years, numerous variational models based on GC for image denoising and image reconstruction have been proposed. WebSep 16, 2024 · Surface-Aware Blind Image Deblurring Abstract: Blind image deblurring is a conundrum because there are infinitely many pairs of latent image and blur kernel. To get a stable and reasonable deblurred image, proper prior knowledge of the latent image and … iactionresult do nothing
Graph-Based Blind Image Deblurring From a Single Photograph
WebNov 20, 2024 · Blind image deblurring is a conundrum because there are infinitely many pairs of latent images and blur kernels. To get a stable and reasonable deblurred image, proper prior knowledge of the ... WebSep 16, 2024 · A typical blind deblurring method generally involves two stages: estimating the blur kernel from the blurry images, and then recovering the latent image with the … WebJul 12, 2024 · From the Wikipedia page on unsharp masking, the formula for this operation is. sharpened = original + (original − blurred) × amount. which can be rearranged to. sharpened = original× (1 + amount) + blurred× (-amount) Wikipedia says a good starting point for amount is 0.5 to 1.5. In my app I have a spinbox that let's it vary between 0 and 10. iact immigration