![]() Image.Mutate(x => x.Resize(width, height, KnownResamplers. Using //used only for the PNG encoder below Resize the given image using the Lanczos3 sampler: using SixLabors.ImageSharp It's simple and works fine for my applications. It takes in as parameters the container's width, height and the image. Image.Mutate(x => x.Resize(width, height)) Here's a small piece of code that I wrote, it resizes the image to fit the container while keeping the image's original aspect ratio. ![]() Using (Image image = Image.Load(inStream)) Resize the given image using the default Bicubic sampler. With ImageSharp we default to Bicubic as it is a very robust algorithm offering good quality output when both reducing and enlarging images but you can easily set the algorithm when processing.Ī full list of out-of-the-box sampling algorithms can be found here: Different samplers are usually chosen based upon the use case - For example NearestNeigbor is often used for fast, low quality thumbnail generation, Lanczos3 for high quality thumbnails due to it's sharpening effect, and Spline for high quality enlargement due to it's smoothing effect. Once you then receive the the newwidth you can calculate the newheight like so: newheight newwidth aspectratio. The sampling algorithm chosen affects the target color and can dramatically alter the result. It sounds like you want to grab the original aspect ratio from the original image like so: aspectratio origimage.height / origimage.width. Resizing an image involves the process of creating and iterating through the pixels of a target image and sampling areas of a source image to choose what color to implement for each pixel. ![]() ImageSharp offers an incredibly flexible collection of resize options that allow developers to choose sizing algorithms, sampling algorithms, and gamma handling as well as other options. Resizing an image is probably the most common processing operation that applications use. 1 If youre looking just to process a bunch of images to this size, this can be accomplished with a single bash command with ImageMagick or similar.
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