Resize
Changing the pixel dimensions of an image through interpolation algorithms that compute new pixel values for the target resolution.
Resizing changes an image's width and height in pixels, serving purposes from web optimization to print enlargement. Downscaling aggregates information from multiple source pixels, while upscaling estimates new values through interpolation.
Common interpolation algorithms include Nearest Neighbor (fast but jagged), Bilinear, Bicubic, and Lanczos (highest quality but computationally expensive). Choosing the right method depends on the use case and acceptable processing time.
The image resize tool supports pixel-based and percentage-based resizing directly in the browser. Maintaining the aspect ratio by specifying only one dimension prevents distortion. For bulk operations, the batch resize tool processes multiple files efficiently.