Bad Pixel Replacement (BPR)

Overview
Designed methods to detect and replace defective pixels in image sensors.
Responsibilities
- Identified dead, hot, and stuck pixels
- Developed interpolation-based correction methods
- Integrated real-time correction strategies
Approach
- Threshold-based detection
- Neighborhood interpolation
- Adaptive replacement strategies
Bad Pixel Handling Flow
flowchart TD
A[Raw Image] --> B[Detect Bad Pixels]
B --> C{Pixel Type}
C -->|Dead Pixel| D[Neighbor Interpolation]
C -->|Hot Pixel| E[Threshold Correction]
C -->|Stuck Pixel| F[Adaptive Replacement]
D --> G[Corrected Image]
E --> G
F --> G
Tech
MATLAB · Image Processing
Impact
- Eliminated visual artifacts caused by defective pixels
- Improved perceived image quality
- Increased robustness of camera output