ISP image signal processor implementation in C function
A High-Performance GPU-accelerated Cuda based Image Signal Processor(ISP) that transforms RAW Bayer data to high quality RGB output. This is a modular pipeline with tunable parameter for each operation. CISP explores the parallel nature of image processing algorithms.
PERSONAL PROJECT: Monocular depth estimation Raspberry Pi using TFlite and OpenCV. Demonstrates vision-only inference pipeline for autonomous systems with real-time performance on edge hardware. Implements MiDaS v2.1 with custom ISP preprocessing and colormap visualization.
A specialized toolkit and learning lab exploring Image Signal Processing (ISP) through Python. Bridging the gap between Fullstack Engineering and professional photography by implementing core imaging algorithms, signal analysis, and computational photography techniques.
Exploring internals of modern Image Signal Processing pipelines
A raw-to-RGB image signal processing pipeline implemented from scratch using NumPy. Covers demosaicing, white balance, and gamma correction.
🔮 AI-powered defect prediction tool for Camera & ISP quality programs — analyzes historical defects and predicts risk areas in current/future Samsung Galaxy releases
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