Átméretezés

Átméretezés, often translated as resizing or scaling, is a fundamental operation in computer graphics and image processing. It refers to the process of changing the dimensions of a digital image or a graphical object. This can involve increasing its size (upscaling) or decreasing its size (downscaling). When resizing, the software must determine how to create or discard pixels to match the new dimensions.

Upscaling an image involves generating new pixel data based on the existing pixels. Common algorithms for upscaling include nearest-neighbor interpolation, bilinear interpolation, and bicubic interpolation. Nearest-neighbor is the simplest, replicating the color of the closest existing pixel, but can lead to blocky results. Bilinear interpolates between neighboring pixels, offering smoother transitions, while bicubic interpolation considers a larger area of surrounding pixels for even better quality, though at a higher computational cost.

Downscaling an image reduces the number of pixels. Algorithms like averaging or decimation are used. Averaging combines the colors of multiple pixels into a single new pixel, which helps to reduce aliasing. Decimation simply discards pixels, which is faster but can lead to loss of detail. The choice of algorithm impacts the visual quality of the resized image, with different methods excelling in different scenarios depending on the desired balance between detail preservation and computational efficiency.