Image Interpolation
Image interpolation is a digital image processing technique used to estimate new pixel values when resizing, rotating, or transforming images. It involves calculating intermediate pixel values based on surrounding known pixels to maintain image quality and smoothness during geometric transformations. Common algorithms include nearest-neighbor, bilinear, and bicubic interpolation, each offering different trade-offs between speed and visual quality.
Developers should learn image interpolation when working with computer vision, graphics rendering, or image editing applications where image resizing or transformation is required. It is essential for tasks like creating responsive web images, generating thumbnails, or implementing real-time image processing in applications such as medical imaging or video games to avoid pixelation and artifacts.