/en/tags/deconvolution/Recent content in Deconvolution on Mi&Bee BlogHugo -- gohugo.ioen蓝宝石的傻话Tue, 16 Jun 2026 10:00:00 +0800/en/posts/physical-world/spatial-domain-restoration/Tue, 16 Jun 2026 10:00:00 +0800/en/posts/physical-world/spatial-domain-restoration/<p>The previous post introduced frequency domain image processing methods — transforming images to the frequency domain via Fourier transform, then performing filtering, restoration, and other operations. However, frequency domain methods are sometimes less intuitive, especially when we&rsquo;re more accustomed to directly manipulating pixels.</p> <p>Spatial domain methods process images directly in pixel space, without requiring transformations. This chapter introduces spatial domain image restoration, edge-preserving filtering, and sharpening techniques.</p> <h2 id="lucy-richardson-iterative-deconvolution">Lucy-Richardson Iterative Deconvolution</h2> <p>The goal of deconvolution is to recover the original image from a degraded image. The degradation process is typically modeled as convolution: degraded image = original image convolved with blur kernel + noise.</p>