To carry out the processing task, we define the convertTograyscale() function. We use the sharp() instance within the require() function scope to read the path to our image. In this example, we start by creating an instance of the sharp module. toFile(_dirname + '/processed_images/grayscale_robo.jpg') Next, copy the following code: const sharp = require('sharp') To convert an image to grayscale, create a new file in the editor’s terminal: touch _grayscale.js Now, open the directory using your favorite IDE. Next, migrate to a new directory: cd sharp_project To set up a sharp image project, start by creating a new directory in the editor’s terminal: mkdir sharp_project The only prerequisite for this tutorial is a system set up with Node.js and npm. In this tutorial, we’ll analyze and modify an image using the sharp Node.js library. This module can produce images in JPEG, PNG, WebP, AVIF, and TIFF formats as well as uncompressed raw pixel data. sharp can read JPEG, PNG, WebP, AVIF, TIFF, GIF, and SVG image formats. Sharp converts large common image formats to smaller, web-friendly images. sharp compresses images faster than most other Node.js modules, like ImageMagick, Jimp, or Squoosh, and produces high-quality results. This module assists with UGC management by offering an easy solution for reading, enhancing, and saving image files. Sharp is a high-performance image processing module for Node.js. A robust image processing solution can be invaluable for UGC management. However, excessively large or unoptimized image files can negatively impact performance and user experience. Images are an important component of most applications that handle user-generated content. I have used the code from to resize images programmatically.Pascal Akunne Follow A JavaScript developer focused on building human-centric products with HTML, CSS, React, Node.js, and MongoDB Processing images with sharp in Node.js However, that project uses the System.Drawing libraries, which are not available to Windows 10 applications. instead, but it does not seem to offer the functionality that was found in System.Drawing. I have tried using the BitmapImage class from Windows.UI. Has anyone had any luck being able to resize (scale down) images in Windows 10? My application will be processing images from multiple sources, in different formats/sizes, and I am trying to resize the actual images to save space, rather than just letting the application size it to fit the Image in which it is being displayed. Var newHeight = (int) (origHeight * ratio) Var ratioY = maxHeight/(float) origHeight Var origHeight = sourceImage.PixelHeight Here it is: public static BitmapImage ResizedImage(BitmapImage sourceImage, int maxWidth, int maxHeight) I have modified the code from the above mentioned link, and have a hack which works for my specific need. SourceImage.DecodePixelHeight = newHeight Var newWidth = (int) (origWidth * ratio) This way seems to work, but ideally rather than modifying the original BitmapImage, I would like to create a new/copy of it to modify and return instead. I may want to return a copy of the original BitmapImage rather than modifying the original. In this scenario you just need to call this task and show the re-sized image like this: smallImage.Source = await ResizedImage(file, 250, 250) Var newHeight = (int)(origHeight * ratio) Var ratioY = maxHeight / (float)origHeight Var ratioX = maxWidth / (float)origWidth IRandomAccessStream inputstream = await ImageFile.OpenReadAsync() īitmapImage sourceImage = new BitmapImage() If you just want to select a picture, show it and in the meanwhile show the re-sized picture of original one, you can pass the StorageFile as parameter like this: public static async Task ResizedImage(StorageFile ImageFile, int maxWidth, int maxHeight) There is no good method to directly copy a BitmapImage, but we can reuse StorageFile for several times.
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