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Image normalization in embedded systems

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Abstract

Normalization is a step in image processing that is used to reduce lighting and contrast effects, significantly increasing the accuracy of the entire solution. The face detection algorithm proposed by Viola-Jones popularized the image normalization process. The basis of this process consists in obtaining the integral image and its square integral. This process requires a greater amount of computational resources, being then avoided, particularly in embedded systems, even if it compromises the result of the solution. In this article we propose a way to implement the image normalization process from the integral of that image already stored in memory, without increasing the amount of external memory, accessing each value of integral stored only twice.

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Authors and Affiliations

  1. Universidade Federal de Campina Grande, R. Aprígio Veloso 822, Campina Grande, PB, Brasil

    Heron Aragão Monteiro & Elmar Uwe Kurt Melcker

  2. Universidade Federal da Paraíba-Campus, Lot. Cidade Universitaria, João Pessoa, PB, Brasil

    Alisson Vasconcelos de Brito

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  1. Heron Aragão Monteiro
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  2. Alisson Vasconcelos de Brito
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  3. Elmar Uwe Kurt Melcker
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Correspondence to Heron Aragão Monteiro.

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Monteiro, H.A., Brito, A.V.d. & Melcker, E.U.K. Image normalization in embedded systems. J Real-Time Image Proc 18, 2469–2478 (2021). https://doi.org/10.1007/s11554-021-01098-8

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