Lossless scaling is a way used to enlarge or cut back the dimensions of a picture with out dropping any of the unique information. That is in distinction to lossy scaling, which reduces the file measurement by eradicating among the information, leading to a decrease high quality picture. Lossless scaling is commonly used for pictures that must be enlarged for printing or different functions the place prime quality is necessary.
Lossless scaling is achieved through the use of algorithms that protect all the unique information within the picture. This may be completed through the use of a wide range of strategies, reminiscent of bicubic interpolation or Lanczos resampling. These strategies work by creating new pixels which are interpolated from the unique pixels, guaranteeing that the ensuing picture is as near the unique as attainable.
