Filter Importance Sampling

Citations Over TimeTop 18% of 2006 papers

Abstract

High quality ray tracing requires pixel sampling and filtering for antialiasing, as well as illumination sampling for complex lighting effects. Both problems are well understood and sophisticated sampling techniques are available for each of them. However, it turns out that weighted pixel sampling spoils the benefits of clever illumination sampling, even with the best filter functions. We propose to circumvent this problem by using pixel sampling and filtering based on importance sampling. Although this technique disallows sharing of samples between neighboring pixels, it results in significant noise reduction and improvement of image quality. The method is easy to implement and well suited for parallel, tile based rendering

Related Papers

• → Bilateral mesh denoising(2003)619 cited
• → A Novel Method of Medical Image Denoising Using Bilateral and NLm Filtering(2013)9 cited
• → Joint bilateral filtering based non-local means image denoising(2014)5 cited
• → K-MEANS BASED IMAGE DENOISING USING BILATERAL FILTERING AND TOTAL VARIATION(2014)
• → Denoising using a Hybrid Filter Comprised of GGIF, WLS, and 2D Bilateral Filtering(2023)