Low-pass (smoothing) and High-pass (sharpening) filters in the frequency domain. 4. Image Restoration
: Complement slides detailing spatial filtering or thresholding with brief, three-line blocks of MATLAB or Python (OpenCV) code to emphasize execution. digital image processing jayaraman ppt
Any wave can be represented as a sum of sinusoidal waves of varying frequencies, phases, and amplitudes. Processing images in the frequency domain allows us to easily isolate specific structural patterns (like slow-changing backgrounds vs. rapid edge transitions) that are incredibly difficult to isolate spatially. 3.2 Key Image Transforms digital image processing jayaraman ppt
Perfect reconstruction without data loss (e.g., Huffman coding, LZW, Run-Length coding). digital image processing jayaraman ppt
: Simple inverse filtering fails completely when noise is present because dividing by small values of