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Radiometric framework for image mosaicking.

Anatoly Litvinov1, Yoav Y Schechner

  • 1Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel. lanatol@tx.technion.ac.il

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|May 19, 2005
PubMed
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This study presents a unified framework to fix radiometric inconsistencies in images caused by camera nonuniformity and nonlinear sensor response. The method enables seamless image mosaicking without needing seam-feathering techniques.

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Imaging

Background:

  • Nonuniform exposures (e.g., vignetting) and nonlinear sensor responses degrade image quality.
  • These issues cause radiometric inconsistencies, leading to visible seams in image mosaics.
  • Existing seam-feathering methods address symptoms, not the root causes of these inconsistencies.

Purpose of the Study:

  • To develop a unified framework for simultaneously estimating and compensating for camera nonuniformity and nonlinear radiometric response.
  • To enable seamless image mosaicking by addressing the fundamental causes of radiometric inconsistencies.
  • To eliminate the need for post-processing seam-feathering techniques.

Main Methods:

  • A novel method is proposed to simultaneously estimate radiometric response and camera nonuniformity.

Related Experiment Videos

  • The estimation is based on analyzing a sequence of images acquired during camera motion.
  • The estimated radiometric and nonuniformity functions are then used to correct the raw images.

    • Main Results:

    • The proposed method effectively compensates for camera nonuniformity and nonlinear sensor response.
    • Seamless image mosaicking is achieved, with no apparent seams between stitched images.
    • The approach eliminates the necessity of dedicated seam-feathering algorithms.

    Conclusions:

    • A unified framework effectively addresses radiometric inconsistencies in imaging systems.
    • Simultaneous estimation and compensation of camera nonuniformity and radiometric response enable high-quality image mosaicking.
    • This method provides a fundamental solution to image seam artifacts in mosaicking.