Computational imaging · 2026 · Solo — signal processing, API, interface, deployment
ImageManip
A browser and API image processor that composes signal-processing stages into one inspectable production pipeline.
The problem
Image transformations are often presented as one opaque filter, which makes it difficult to understand how frequency content, sensor characteristics, compression history, entropy, and metadata interact. ImageManip exposes those stages as one bounded browser workflow and a documented JSON API. It is an experimental transformation tool, not a guarantee of detector evasion or image provenance.
Architecture
Key decisions
Compose frequency-domain and pixel-domain stages
FFT spectrum changes handle spatial-frequency structure, while lens falloff, perturbation, sensor noise, and entropy conditioning operate in pixel space. Keeping them as explicit stages makes the transformation pipeline inspectable.
Expose camera profiles as product controls
Canon, Sony, Nikon, and iPhone profiles vary noise, color, pattern, lens, and metadata characteristics instead of hiding every parameter behind one generic preset.
Ship one engine through UI and API surfaces
The browser supports direct drag-and-drop use, while the documented JSON endpoint lets cURL, Python, and JavaScript clients invoke the same production processor.
Keep the claim narrower than the implementation goal
The portfolio describes the verified transformation pipeline and working API. It does not claim universal detector evasion, authenticity, or provenance because no detector benchmark is published with the project.