Image Reconstruction Using Filtered Back Projection Method

During the processing pipeline, the filtered back projection method can be selected for reconstructing input images. This approach utilizes filtering and interpolation operations to achieve clearer and more accurate reconstruction outcomes. In the filtering phase, appropriate filtering algorithms (such as Ram-Lak, Shepp-Logan, or Cosine filters) can be implemented based on specific requirements to reduce noise and enhance image details through frequency domain operations. During interpolation, suitable methods (like linear, cubic, or spline interpolation) can be chosen according to image characteristics to generate smoother and more natural reconstructed images through pixel value estimation. The implementation typically involves radon transform computation followed by frequency domain filtering and inverse radon transformation. Therefore, by employing the filtered back projection method, we gain more configuration options and achieve superior reconstruction quality through optimized parameter tuning.