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Vignette and exposure calibration and compensation
1Adobe Systems, Inc., Seattle, WA 98103, USA. dgoldman@adobe.com
IEEE Transactions on Pattern Analysis and Machine Intelligence
|October 27, 2010
Summary
This study presents a method to remove image vignetting and exposure variations without needing to resolve underlying ambiguities. This technique enhances image processing for applications like panoramic mosaics and material reconstruction.
Area of Science:
- Computer Vision
- Image Processing
Background:
- Image sequences often suffer from vignetting (radial falloff) and exposure variations.
- These variations complicate accurate photometric measurements and image analysis.
Purpose of the Study:
- To develop a method for calibrating and removing vignetting and exposure variations from image sequences.
- To address the unique recovery problem of these variations even with known response curves.
Main Methods:
- Discusses calibration techniques for spatially varying image degradations.
- Focuses on removing vignetting and exposure variations without resolving scene radiance ambiguities.
Main Results:
- Demonstrates that vignetting and exposure variations can be removed effectively.
- The method works without resolving previously known scale and gamma ambiguities.
Conclusions:
- The proposed method offers a robust way to correct image artifacts for improved downstream applications.
- Enables enhanced performance in panoramic image mosaics, photometry, and image-based rendering.
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