Computer Vision✓ COMPLETEDDRDO Young Scientist Laboratory – Artificial Intelligence (DYSL-AI)
Computer vision algorithm for transformation of Night time Images to corresponding Day time
Project Summary
“Computer vision algorithm for transformation of Night time Images to corresponding Day time.”
RESEARCH GRANTRs. 9,94,9432020 – 2021
RESEARCH OVERVIEW & DETAILS
Project Scope & Details
Computer vision algorithm for transformation of Night time Images to corresponding Day time.
ARCHITECTURAL & SCIENTIFIC HIGHLIGHTS
01.
Retinex-Grounded CycleGAN Architecture
Physically decouples scene illumination from reflectance to restore natural daytime colors from low-light photography.
02.
Perceptual Contrast Preservation Loss
Prevents overexposure blooming around localized light sources while brightening deep underexposed shadows.
03.
Structural Similarity & Edge Retention
Enforces edge-aware gradient constraints, preserving fine road surface and architectural textures.
04.
Real-Time Embedded Edge Inference
Quantized network architectures optimized for deployment on in-vehicle intelligent transportation systems.
PROJECT GALLERY [1 PHOTOS]
Click to expandFIG. 01
Retinex & Dual-Attention Architecture
RESEARCH TEAM
- Dr. Himangshu Sarma
EXTERNAL COLLABORATORS
- ▸DRDO Young Scientist Laboratory – Artificial Intelligence (DYSL-AI)
FUNDING & GRANTS
SANCTIONED BUDGETRs. 9,94,943
SPONSORING AGENCYDRDO Young Scientist Laboratory – Artificial Intelligence (DYSL-AI), DRDO, Govt of India
PROJECT TIMELINE2020-05-01 – 2021-05-01
TECHNOLOGIES
Computer vision