Using this algorithm reduces the number of comparisons to just one variable that is the Y intercept c and also makes the computations easy. This algorithm works for all scenarios viz oldx > newx or oldx < newx or oldy > newy or oldy < newy.I am not sure if you can Draw() from multiple threads in DirectX - but even if you can't you should be able to get way more throughput from it (even on a single thread). The next step that follows is re-sizing the image to the resolution newx newy. Unfortunately the only way to get multithreaded access would probably be to use DirectX/SharpDX and create the device with multithreading enabled create some backbuffers and do the resizing there - you can then tweak the minification/maxification filters. G.DrawImage(source, new Rectangle(0, 0, width, height)) Įdit: According to this post it seems as though System.Drawing has a global lock especially with DrawImage() (although keep in mind, this is not because of the message pump). Note that Bitmap has a resize constructor, but you can't control the quality. It is better to create a function for bilinear interpolation and resizing. Rate this tool 3. We will implement the algorithm in python3 and use Numpy. ![]() Click on 'Start' and wait while we resize your image. Choose the image format you want your result to have. Var height = (int)(source.Height * scale) How to Upscale an image Upload your image, photo or picture. RGB2 imresize (RGB, 64 NaN) Get the size of the resized image. Throw new ArgumentNullException("source") imresize calculates the number of columns automatically. Lanczos-style filters are better in this respect, but you are correct that sinc-based filters are most appropriate for 'continuous' images - pixel-art-style images don't do well with any kind of linear resizing filter, due to their reliance on sharp horizontal and vertical edges. Public static Bitmap ResizeBitmap(Image source, float scale, InterpolationMode quality) Var newFile = Path.ChangeExtension(filename, ".thumbnail" + Path.GetExtension(filename)) For this, the image to be sharpened is first transformed to the Hue, Saturation, and Value (HSV) color model, and then only the channel of Value will be used. Using (var resized = ResizeBitmap(bitmap, 0.1f, InterpolationMode.HighQualityBicubic)) Using (var bitmap = Image.FromFile(filename)) Public static void ResizeImage(string filename, float scale) New Action(ResizeImage).BeginInvoke(file, 0.1f, null, null) ![]() Thus, for instance, you could do the following (I have tested this): static void Main(string args)įoreach (var file in Directory.GetFiles("C:\\MyImages", "*.jpg")) System.Drawing) doesn't need the message pump and will happily work on multiple threads only real controls do - you can even use Bitmap in a console application (which doesn't have a message pump). The resizing algorithm at first produces 2X upsized image (relative to the source image size, or relative to the destination image size if downsizing is.
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