Results 61 to 70 of about 901 (179)
Super-Resolution with Multiselective Contourlets
American Journal of Computational Mathematics, 2012 We introduce a new approach to image super-resolution. The idea is to use a simple wavelet-based linear interpolation scheme as our initial estimate of high-resolution image; and to intensify geometric structure in initial estimation with an iterative projection process based on hard-thresholding scheme in a new angular multiselectivity domain.
Mohamed El Aallaoui, Abdelwahad Gourch
openaire +2 more sources
IET Image Processing, Volume 19, Issue 1, January/December 2025.A dual‐branch enhancement structure comprising greyscale feature map prediction and atmospheric light transmission network is proposed to remove noise from the images and enhance texture information, jointly generating enhanced visible light polarization images.
Xin Zhang +4 more
wiley +1 more source
Contourlet-Based Fingerprint Antispoofing
Computer Science & Information Technology ( CS & IT ), 2013 We propose an image-based method using Contourlet transform [5] to detect liveness in fingerprint biometric systems. We observe that real and spoof fingerprint images exhibit different textural characteristics. Wavelet transform although widely used for liveness detection is not the ideal one.
Shankar Bhausaheb Nikam, Suneeta Agarwal
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Fusion of Deep and Time–Frequency Local Features for Melanoma Skin Cancer Detection
Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.Skin cancer spreads quickly as the skin is the most vulnerable organ, and melanoma (MEL) is a fatal type of skin cancer. Detecting MEL in the early stage can hugely increase the chance of a cure. There are several methods based on machine learning to detect MEL from dermoscopic images. However, increasing the accuracy of detection is still challenging.
Hamidreza Eghtesaddoust +3 more
wiley +1 more source
A Novel Design Approach for Contourlet Filter Banks
IEICE Transactions on Information and Systems, 2010 This letter proposes a novel design approach for optimal contourlet filter banks based on the parametric 9/7 filter family. The Laplacian pyramid decomposition is replaced by optimal 9/7 filter banks with rational coefficients, and directional filter banks are activated using a pkva 12 filter in the contourlets.
Guoan Yang +4 more
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Single-Frame Image Super-resolution through Contourlet Learning
EURASIP Journal on Advances in Signal Processing, 2006 We propose a learning-based, single-image super-resolution reconstruction technique using the contourlet transform, which is capable of capturing the smoothness along contours making use of directional decompositions.
Jiji CV, Chaudhuri Subhasis
doaj +1 more source
Warp-Knitted Fabric Defect Segmentation Based on Non-Subsampled Wavelet-Based Contourlet Transform
AUTEX Research Journal, 2017 In this paper, a non-subsampled wavelet-based contourlet transform (NWCT) is applied in warp-knitted fabric defect segmentation. Compared with the traditional contourlet transform, wavelet transform takes the place of Laplacian pyramid in NWCT and the ...
Xia Dong, Jiang Gaoming, Ma Pibo
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, 2001 This chapter focuses on the development of a new \true" two- dimensional representation for images that can capture the intrinsic geo- metrical structure of pictorial information. Our emphasis is on the discrete framework that can lead to algorithmic implementations. We propose a double filter bank structure, named the pyramidal directional filter bank,
Do, Minh, Vetterli, Martin
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A dual adaptive watermarking scheme in contourlet domain for DICOM images
BioMedical Engineering OnLine, 2011 Background Nowadays, medical imaging equipments produce digital form of medical images. In a modern health care environment, new systems such as PACS (picture archiving and communication systems), use the digital form of medical image too.
Rabbani Hossein, Rahimi Farhad
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Algorithm on Contourlet Domain in Detection of Road Cracks for Pavement Images
Journal of Algorithms & Computational Technology, 2013 In this paper we present a detection algorithm of road cracks in several directions and each layer for pavement images in contourlet domain. Firstly, a pavement image is converted to a grey-scale image which is decomposed by using contourlet transform ...
Shu Zhibiao, Guo Yanqing
doaj +1 more source