Digital Noise Reduction (DNR)

Overview

Implemented noise reduction algorithms to improve image quality, especially under low-light conditions.

Responsibilities

• Modeled noise characteristics of sensors
• Designed spatial and temporal denoising filters
• Optimized for performance and quality

Approach

• Spatial filtering (e.g., smoothing, bilateral filtering)
• Temporal noise reduction across frames
• Noise-aware adaptive filtering

Noise Reduction Flow

flowchart LR
    A[Input Image] --> B[Noise Estimation]
    B --> C{Filter Type}

    C -->|Spatial| D[Spatial Filtering]
    C -->|Temporal| E[Temporal Filtering]

    D --> F[Output Image]
    E --> F

Tech

MATLAB · Signal Processing · Image Filtering

Impact

• Reduced visible noise in challenging conditions
• Improved low-light performance
• Enhanced downstream computer vision reliability