Overexposure occurs when an optical sensor reaches saturation, and from that point on, only the maximum pixel value (usually 255) is displayed. While overexposed objects often create challenges in image processing, there are situations where overexposure can be turned into an advantage.

When Overexposure Is Useful

In OCR, barcode, and similar applications, overexposing an image can help eliminate noise or dirt, as the printed parts are typically darker than unwanted markings. For example, if text is scribbled over with graphite, gradually increasing exposure can remove the scribbles and clean the image:

• Traditional preprocessing techniques like filters or histogram equalization may not provide satisfactory results.
  
• Gradually increasing exposure can eliminate unwanted marks effectively.
  

Considerations and Limitations

It’s important to note that overexposed objects will change their edges and appear “thinner.” Because of this, overexposure is not suitable for applications requiring precise measurements.

Business Benefits

• Faster visual data processing by eliminating noise automatically
  
• Improved OCR and barcode reading accuracy
  
• Simpler integration into automated inspection and quality control systems
  

Want to optimize your computer vision system for OCR and automated inspection?
Contact us at info@subpixel.hr to learn how Subpixel can improve your visual inspection processes using advanced overexposure techniques and computer vision.