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raytracing - How is Anti Aliasing Implemented in Ray …

    https://computergraphics.stackexchange.com/questions/4248/how-is-anti-aliasing-implemented-in-ray-tracing
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Ray tracing: refraction, and supersampling - Otago

    http://www.cs.otago.ac.nz/cosc342/2014-342/2014-notes/342-2014lect13.pdf
    Ray tracing: refraction,! and supersampling 1. L13: What is refraction? i r n 2. L13: Effect of refraction 3. L13: Refractive index, n ... Antialiasing is mostly about getting the samples to look like the picture we want. 17. L13: Supersampling 18. L13: Where to …

RayTracing: Aliasing Vs Antialiasing – Graphic PIZiadas

    https://piziadas.com/en/2010/02/raytracing-aliasing-vs-antialiasing.html
    The aliasing is thus defined as a distortion of the information originating sampling a low frequency image (subsampling). By smoothing techniques (eg supersampling) this effect can be compensated. These techniques are called "antialiasing”. Sampling frequencies liitan these effects are known as "Nyquist frequency

Ray tracing Supersampling patterns : pre-computing them?

    https://computergraphics.stackexchange.com/questions/12605/ray-tracing-supersampling-patterns-pre-computing-them
    The sampling sequences are not reused within neighbouring pixels. I believe the tiles provided in the code above were 128 × 128. Also it was quite limited in terms of dimensions. – lightxbulb Apr 5 at 12:13 Yes that's a good point it is not the same pattern for neighbouring pixels. The dimensions are fine, you just loop back around. – Peter

Anti-aliased and accelerated ray tracing

    https://www.cs.utexas.edu/users/fussell/courses/cs384g-fall2011/lectures/lecture10-Aa_and_accel_raytracing.pdf
    Antialiasing in a ray tracer We would like to compute the average intensity in the neighborhood of each pixel. When casting one ray per pixel, we are likely to have aliasing artifacts. To improve matters, we can cast more than one ray per pixel and average the result. A.k.a., super-sampling and averaging down.

Ray Tracing With Adaptive Supersampling in Object Space

    https://www.cs.uaf.edu/~genetti/Research/Papers/GI93/GI.html
    Ray Tracing With Adaptive Supersampling in Object Space Jon Genetti and Dan Gordon Department of Computer Science Texas A&M University, College Station, Texas, 77843 Abstract We introduce a new approach to two important problems in ray tracing: antialiasing and distributed light sources.

Improving Temporal Antialiasing with Adaptive Ray …

    https://research.nvidia.com/sites/default/files/pubs/2019-03_Improving-Temporal-Antialiasing/Marrs2019_Chapter_TemporalAntialiasingWAdaptiveRays.pdf
    Since the base case of TAA is acceptable for most screen pixels, the cost of ray tracing is highly amortized and requires a ray budget far less than one sample per pixel. For example, we can adaptively employ 8× ray traced supersampling for 6% of the total image resolution at a cost of fewer than 0.5 rays per pixel.

Supersampling - Wikipedia

    https://en.wikipedia.org/wiki/Supersampling
    Supersampling or supersampling anti-aliasing (SSAA) is a spatial anti-aliasing method, i.e. a method used to remove aliasing (jagged and pixelated edges, colloquially known as "jaggies") from images rendered in computer games or other computer programs that generate imagery. Aliasing occurs because unlike real-world objects, which have continuous smooth curves and …

Advanced Ray Tracing - University of Utah

    https://my.eng.utah.edu/~cs4600/lectures/Wk13_AdvancedRayTracing.pdf
    Adaptive Supersampling (Whitted’s method) • Shoot rays through 4 pixel corners and collect colors • Provisional color for entire pixel is averageof corner contributions –If you stop here, the only overhead vs. center-of-pixel ray-tracing is another row, column of rays

Supersampling Ray Tracing Methods

    https://courses.washington.edu/css552/2011.Winter/FinalProject/8.Sample+Filtering/ResearchLecture.pptx
    Ray Tracing - Analysis of Super-Sampling Methods How to reconstruct a high quality image with the least amount of samples per pixel the least amount of resources And preserving the image quality without introduction of artifacts such as jagged edges, Moire patterns, etc.. The Problem Reduce computation Improve antialiasing Efficient sampling

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