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Visual ForensicsRutvij Khatri•5 min read•Published 2026-10-14

High-Pass and Laplacian Filtering for Image Tampering Detection

How second-order spatial convolution highlights artificial sharpening seams, cut-out borders, and digital brush smoothing.

Detecting Cut-and-Paste Edge Halos

Second-order Laplacian derivative kernels amplify sudden changes in local pixel brightness. When an element is spliced using lasso or magic-wand selection, the border pixels carry abrupt frequency jumps.

Under Laplacian filtering, authentic continuous edges display delicate outlines, while digitally pasted boundaries glow with exaggerated white halos.

#laplacian filter image forensics#detect cut and paste edges#high pass photo forensics
RK
Rutvij KhatriSecurity Analyst

Security Analyst and Aspiring Security Engineer passionate about digital image forensics, OSINT research, CTF steganography challenges, and client-side application security.

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