/en/tags/interpolation/Recent content in Interpolation on Mi&Bee BlogHugo -- gohugo.ioen蓝宝石的傻话Mon, 08 Jun 2026 10:00:00 +0800/en/posts/physical-world/image-interpolation-methods/Mon, 08 Jun 2026 10:00:00 +0800/en/posts/physical-world/image-interpolation-methods/<h2 id="why-interpolation-matters">Why Interpolation Matters</h2> <p>Imagine you have a low-resolution photo and want to print it larger. Between every two pixels in the original image is now a &ldquo;blank space&rdquo; — where do the new pixels come from?</p> <p>Interpolation is the solution: using known pixel values to estimate values at unknown positions. Image upscaling is essentially an interpolation problem.</p> $$ \text{Upscaled Image} = \text{Interpolation Algorithm}(\text{Original Pixels}) $$<p>The quality of interpolation directly affects the upscaled image. Too simple methods produce mosaic artifacts, while too complex methods may introduce ringing artifacts. Let&rsquo;s progress step by step, from the simplest nearest neighbor interpolation to the most commonly used bicubic interpolation.</p>