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A CMOS Image Readout Circuit with On-Chip Defective Pixel Detection and Correction.

Bárbaro M López-Portilla¹, Wladimir Valenzuela¹, Payman Zarkesh-Ha²

¹Electrical Engineering Department, University of Concepción, Edmundo Larenas 219, Concepción 4070386, Chile.

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Summary

This summary is machine-generated.

This study introduces a new algorithm and CMOS circuit for detecting and correcting defective pixels in images. The method significantly improves image quality, outperforming existing techniques for real-time processing.

Keywords:

defective pixel detection and correction algorithms image sensor integrated circuit intelligent readout circuit

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Area of Science:

Image processing
Analog circuit design
Semiconductor device physics

Background:

Defective pixels in CMOS image sensors degrade image quality.
Early detection and correction are crucial for reliable image data.

Purpose of the Study:

To propose and implement an efficient algorithm for defective pixel detection and correction.
To integrate this solution at the pixel and column levels within CMOS image sensors.

Main Methods:

Developed a CMOS analog circuit for parallel defective pixel detection using neighborhood arithmetic operations.
Implemented a column-level circuit to replace defective pixels with median values.
Designed and simulated a 128x128-pixel imager with integrated detection/correction circuits.

Main Results:

Achieved high processing speeds of 694 frames per second.
Demonstrated superior performance with Peak Signal to Noise Ratio (PSNR) of 45 dB and Image Enhancement Factor (IEF) of 198.4 for 0.5% defective pixels.
Obtained PSNR of 44.4 dB and IEF of 194.2 for 1.0% defective pixels.

Conclusions:

The proposed algorithm and CMOS implementation effectively detect and correct defective pixels.
This integrated approach offers state-of-the-art performance for real-time image processing applications.