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Single-Image Localised Reflection Removal with k-Order Differences Term

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00386497" target="_blank" >RIV/68407700:21230/25:00386497 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-031-95918-9_8" target="_blank" >https://doi.org/10.1007/978-3-031-95918-9_8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-95918-9_8" target="_blank" >10.1007/978-3-031-95918-9_8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Single-Image Localised Reflection Removal with k-Order Differences Term

  • Original language description

    We introduce the problem of localized glass-reflection removal (LGRR), which targets the removal of highlights caused by light reflections on glass surfaces. Our approach uses an end-to-end convolutional neural network trained on MS-COCO image crops with synthetic reflections generated from real light source images. We propose a cost function that includes image difference terms and show that it improves reflection removal and inpainting compared to standard L1 and L2 losses. Experimental results demonstrate that our method effectively reduces localized reflections.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA25-15993S" target="_blank" >GA25-15993S: Detection of anomalous or out-of-distribution inputs in deep neural network models</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Image Analysis

  • ISBN

    978-3-031-95918-9

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    14

  • Pages from-to

    106-119

  • Publisher name

    Springer, Cham

  • Place of publication

  • Event location

    Reykjavik

  • Event date

    Jun 23, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001553877800008