átméretezést

Átméretezés, a Hungarian term often translated as resizing or scaling, refers to the process of changing the dimensions of an object, image, or data set. This can involve increasing or decreasing its size while maintaining or altering its proportions. In digital contexts, átméretezés is commonly applied to images, where it can be done to fit a specific display area, reduce file size, or prepare for printing. There are various algorithms and methods for image átméretezés, each with its own trade-offs in terms of image quality and computational cost. Common techniques include nearest-neighbor interpolation, bilinear interpolation, and bicubic interpolation, with more advanced methods offering better results for significant scaling.

Beyond digital images, the concept of átméretezés extends to other fields. In mathematics and physics, it can refer to scaling laws or dimensional analysis, where relationships between physical quantities are examined at different scales. In engineering and design, átméretezés might involve adjusting the size of components or structures to meet new requirements. In data analysis, it can be a preprocessing step to normalize data, ensuring that variables with different ranges contribute equally to an analysis. The specific meaning and implementation of átméretezés are highly dependent on the domain in which it is applied.