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\(\lambda \)-Color: Amplifying Long-Range Dependencies for Image Colorization

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Pattern Recognition (ICPR 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15322))

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Abstract

Colorization of images serves as a transformative tool, imbuing black and white pictures with vitality that mirrors the essence of the captured moment. Beyond merely transitioning aged images into modern color renditions, this process extends its reach to inferring colors for images where conventional color-capturing methods fail. In this paper, we introduce a novel algorithm designed to seamlessly convert grayscale images into perceptually consistent color compositions. We have also developed a novel layer by combining convolutional and lambda layers towards image colorization. Our proposed algorithm represents a significant advancement in the field of image colorization, offering a multifaceted solution to enhance visual storytelling and comprehension.

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Author information

Authors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, 2007, Australia

    Subhankar Ghosh, Prasun Roy & Michael Blumenstein

  2. Indian Institute of Technology Kharagpur, Kharagpur, 721302, WB, India

    Saumik Bhattacharya

  3. Indian Statistical Institute Kolkata, Kolkata, 700108, WB, India

    Umapada Pal

Authors
  1. Subhankar Ghosh
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  2. Saumik Bhattacharya
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  3. Prasun Roy
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  4. Umapada Pal
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  5. Michael Blumenstein
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Corresponding author

Correspondence to Subhankar Ghosh .

Editor information

Editors and Affiliations

  1. University of Salford, Salford, Lancashire, UK

    Apostolos Antonacopoulos

  2. Indian Institute of Technology Bombay, Mumbai, Maharashtra, India

    Subhasis Chaudhuri

  3. Johns Hopkins University, Baltimore, MD, USA

    Rama Chellappa

  4. Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu

  5. IIT Kharagpur, Kharagpur, West Bengal, India

    Saumik Bhattacharya

  6. Indian Statistical Institute Kolkata, Kolkata, West Bengal, India

    Umapada Pal

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Ghosh, S., Bhattacharya, S., Roy, P., Pal, U., Blumenstein, M. (2025). \(\lambda \)-Color: Amplifying Long-Range Dependencies for Image Colorization. In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, CL., Bhattacharya, S., Pal, U. (eds) Pattern Recognition. ICPR 2024. Lecture Notes in Computer Science, vol 15322. Springer, Cham. https://doi.org/10.1007/978-3-031-78312-8_12

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  • DOI: https://doi.org/10.1007/978-3-031-78312-8_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-78311-1

  • Online ISBN: 978-3-031-78312-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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