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radeon image sharpening what is useful, I believe that many inexperienced people are helpless, this article summarizes the causes of the problem and solutions, through this article I hope you can solve this problem.

Image sharpening is to compensate the contour of the image, enhance the edge of the image and the part of gray scale jump, so that the image becomes clear. It can be divided into two categories: spatial domain processing and frequency domain processing.

Image sharpening is to highlight the edges, contours, or features of some linear object features on the image. This filtering method improves the contrast between the edge of the object and the surrounding pixels, so it is also called edge enhancement.

Image sharpening is one of the new features offered by AMD's newest Navi GPUs, the Radeon RX 5700 and RX 5700 XT.

What is Radeon Image Sharpening?

It's a post-processing sharpening feature of the game, AMD says, with little performance loss. Theoretically, you turn it on, and the overall game visuals improve clarity. But as we observed with Geforce DLSS, manufacturer statements do not always reflect reality.

There are two key use cases for image sharpening: The first is "soft" gaming. Many games today use temporary antialiasing (taa), which often results in blurring. RADEON Image Sharpening (RIS) is a way to sharpen these games and get sharper images.

The second use case is resolution downsampling. For example, if you have a 4K monitor but want better performance, you can run the game at 1800p or 80% resolution. This inevitably softens the image because it is not rendered at native resolution.

Radeon Image Sharpening can post-process images to add a bit of sharpness and approach native images with little performance loss. In a sense, this is similar to Nvidia's attempt at DLSS, which will be compared later.

Radeon's image sharpening technology is comparable to Nvidia's DLSS technology, and in general has considerable advantages.

After reading the above content, do you have any method for radeon image sharpening? If you still want to learn more skills or want to know more related content, welcome to pay attention to the industry information channel, thank you for reading!

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