Image restoration with multiple DirLOTs

Natsuki Aizawa, Shogo Muramatsu, Masahiro Yukawa

    Research output: Contribution to journalArticle

    3 Citations (Scopus)

    Abstract

    A directional lapped orthogonal transform (DirLOT) is an orthonormal transform of which basis is allowed to be anisotropic with the symmetric, real-valued and compact-support property. Due to its directional property, DirLOT is superior to the existing separable transforms such as DCT and DWT in expressing diagonal edges and textures. The goal of this paper is to enhance the ability of DirLOT further. To achieve this goal, we propose a novel image restoration technique using multiple DirLOTs. This paper generalizes an image denoising technique in [1], and expands the application of multiple DirLOTs by introducing linear degradation operator P. The idea is to use multiple DirLOTs to construct a redundant dictionary. More precisely, the redundant dictionary is constructed as a union of symmetric orthonormal discrete wavelet transforms generated by DirLOTs. To select atoms fitting a target image from the dictionary, we formulate an image restoration problem as an ℓ1- regularized least square problem, which can efficiently be solved by the iterativeshrinkage/thresholding algorithm (ISTA). The proposed technique is beneficial in expressing multiple directions of edges/textures. Simulation results show that the proposed technique significantly outperforms the nonsubsampled Haar wavelet transform for deblurring, super-resolution, and inpainting.

    Original languageEnglish
    Pages (from-to)1954-1961
    Number of pages8
    JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    VolumeE96-A
    Issue number10
    DOIs
    Publication statusPublished - 2013 Oct

    Keywords

    • Deblurring
    • DirLOT
    • Inpainting
    • Iterativeshrinkage/ thresholding algorithm (ISTA)
    • Multi-directional dictionary
    • Super-resolution

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Graphics and Computer-Aided Design
    • Electrical and Electronic Engineering
    • Applied Mathematics

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