Lanczos: This interpolation method is much like cubic except that instead of blurring, it creates a "ringing" pattern.Ībstract - Image scaling is a technique used to scale down or scale up the pictures or video frames to fit to the application and is very important in image processing applications. According to Wikipedia, it can sometimes increase perceived contrast or cause artifacts. Unless the image is very small or incredibly detailed, cubic and bicubic interpolation helps keep edges smooth. Algorithms that produce higher-quality scaled images tend to require more processing time. The effectiveness of the algorithms that perform these mappings determines the quality of a scaled image. To shrink an image, groups of pixels in the original image must be mapped to single pixels in the smaller image. In contrast to this type of interpolation, taking only four pixels (2×2 pixel values) into account, bicubic interpolation takes 16 pixels (4×4 pixel values) into account, making for an even smoother albeit slightly blurry result. ![]() Bicubic interpolation algorithm for image scaling This algorithm alters the dimensions of an image not by scaling or cropping, but rather by intelligently removing pixels from (or adding pixels to) the image that carry little importance. Seam carving is an image resizing algorithm developed by Shai Avidan and Ariel Shamir. With IM v6.3.6 the General Distortion Operator " -distort " will let you do this and more, using its Scale-Rotate-Translate distortion method. It also means you cannot use resize to just shift (translate) an image half a pixel to the right (without actual resize) even though the algorithm could quite easily do this. This is to combat 'Blocking' artifacts as demonstrated above. However some resize filters, especially ones designed specifically for enlarging images, often add a lot more blurring than necessary. The better the resize algorithm, the less blurring of sharp edges there is. ![]() The result is an usually a slight blurring of the pixel data. Some filters add a blurring effect while others maintain the hard edges between different areas of a picture. Using the right resample filter will keep your enlargements looking great. The resample filter (or resize algorithm) determines how pixels in a picture are affected when it is resized. Bilinear: Might provide better result than Mitchell for some noise textures preserving more sharp details. And thank you for taking the time to help us improve the quality of Unity Documentation.ĭefault high quality resize algorithm. For some reason your suggested change could not be submitted.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |