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Updated: Jan 20, 2026

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Ring Difference Filter for Fast and Noise Robust Depth from Focus.

Hae-Gon Jeon, Jaeheung Surh, Sunghoon Im

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 4, 2019
    PubMed
    Summary
    This summary is machine-generated.

    A new ring difference filter (RDF) improves depth from focus (DfF) accuracy by combining local and non-local methods. This focus measure enhances depth estimation, even with image noise, offering superior results efficiently.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Computational Photography

    Background:

    • Depth from focus (DfF) estimates scene depth using camera focus variations.
    • Focus measure (FM) accuracy is critical for reliable DfF.
    • Existing FMs are either local (less robust to noise) or non-local (less confident).

    Purpose of the Study:

    • To introduce a novel focus measure, the ring difference filter (RDF).
    • To develop an efficient DfF pipeline utilizing the RDF.
    • To improve the accuracy and robustness of depth estimation.

    Main Methods:

    • Proposed the ring difference filter (RDF) with a unique ring-and-disk structure.
    • Developed an efficient DfF pipeline incorporating the RDF.
    • Implemented an RDF-based cost aggregation method for noise robust refinement.

    Main Results:

    • The RDF combines advantages of both local and non-local focus measures.
    • The proposed pipeline achieves robust depth estimation, even in noisy images.
    • The RDF method matches or surpasses state-of-the-art performance with reduced computation time.

    Conclusions:

    • The ring difference filter offers a more accurate and robust focus measure for DfF.
    • The developed pipeline provides an efficient and effective solution for depth estimation.
    • This approach advances the field of depth from focus estimation.