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  2. Edge enhancement - Wikipedia

    en.wikipedia.org/wiki/Edge_enhancement

    Edge enhancement is an image processing filter that enhances the edge contrast of an image or video in an attempt to improve its acutance (apparent sharpness).. The filter works by identifying sharp edge boundaries in the image, such as the edge between a subject and a background of a contrasting color, and increasing the image contrast in the area immediately around the edge.

  3. Deep Learning Super Sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    Nvidia advertised DLSS as a key feature of the GeForce 20 series cards when they launched in September 2018. [5] At that time, the results were limited to a few video games, namely Battlefield V, [6] or Metro Exodus, because the algorithm had to be trained specifically on each game on which it was applied and the results were usually not as good as simple resolution upscaling.

  4. Acutance - Wikipedia

    en.wikipedia.org/wiki/Acutance

    An image with artificially increased acutance Another illustration, where overshoot caused by using unsharp masking to sharpen the image (bottom half) increases acutance. In photography , acutance describes a subjective perception of sharpness that is related to the edge contrast of an image .

  5. GPUOpen - Wikipedia

    en.wikipedia.org/wiki/GPUOpen

    A sharpening pass called RCAS (Robust Contrast-Adaptive Sharpening) that extracts pixel detail in the upscaled image." [12] FSR 2 is a temporal upscaler based on a modified Lanczos requiring an aliased lower resolution image and utilising the temporal data (such as motion vectors and frame history) and then applies its own antialiasing pass ...

  6. Anisotropic filtering - Wikipedia

    en.wikipedia.org/wiki/Anisotropic_filtering

    An illustration of texture filtering methods showing a texture with trilinear mipmapping (left) and anisotropic texture filtering. In 3D computer graphics, anisotropic filtering (AF) [1] [2] is a technique that improves the appearance of textures, especially on surfaces viewed at sharp angles.

  7. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    However, it is not always possible to obtain such ideal edges from real life images of moderate complexity. Edges extracted from non-trivial images are often hampered by fragmentation , meaning that the edge curves are not connected, missing edge segments as well as false edges not corresponding to interesting phenomena in the image – thus ...

  8. Scotts Miracle-Gro (SMG) Q1 2025 Earnings Call Transcript - AOL

    www.aol.com/scotts-miracle-gro-smg-q1-213013917.html

    Image source: The Motley Fool. Scotts Miracle-Gro (NYSE: SMG) Q1 2025 Earnings Call Jan 29, 2025, 9:00 a.m. ET. Contents: Prepared Remarks. Questions and Answers. Call Participants

  9. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    Unsharp masking applied to lower part of image. Unsharp masking (USM) is an image sharpening technique, first implemented in darkroom photography, but now commonly used in digital image processing software. Its name derives from the fact that the technique uses a blurred, or "unsharp", negative image to create a mask of the original image. The ...