Results 31 to 40 of about 2,482,901 (176)
The Use Of Complex Contourlet Transform On Fusion Scheme
, 2007 {"references": ["G. Piella, \"A general framework for multi-resolution image fusion: from\npixels to regions,\" PNA-R0211, ISSN 1386-3711, 2002.", "B. Jeon and D. A. Landrebe, \"Decision fusion approach for multitemporal\nclassification,\" IEEE Transactions on Geoscience and Remote Sensing,\nvol. 37, no. 7, pp. 1227-1233, 1999.", "R. K.
Dipeng Chen, Qi Li
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An Unsupervised Image Enhancement Method Based on Adaptation Region Divisions
IET Image Processing, Volume 19, Issue 1, January/December 2025.This paper proposes an image enhancement method that combines traditional techniques with deep learning. It converts images to Lab color space, calculates texture complexity, adaptation region divisions and uses a convolutional autoencoder for noise reduction.
Kaijun Zhou, Weiyi Yuan, Yemei Qin
wiley +1 more source
CDRWF: Compressed Domain Based Robust Watermarking Framework for Colored Images
IET Image Processing, Volume 19, Issue 1, January/December 2025.Image watermarking in the compressed domain is a highly significant research problem. The work proposed in this paper addresses the dual challenge of optimizing image compression for storage conservation and simultaneously implementing robust image watermarking for copyright protection.
Samrah Mehraj +2 more
wiley +1 more source
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
Image Enhancement by Fusion in Contourlet Transform
International Journal on Electrical Engineering and Informatics, 2010 Most existing image enhancement algorithms work on a single image. Their performance is limited to the capacity of the sensor by which the image is taken. In some cases they completely fail to provide us the necessary enhancements. This paper proposes a composite image approach for enhancing still images.
Melkamu H Asmare +3 more
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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
Contourlet Transform for Iris Image Segmentation
International Journal of Computer Applications, 2012 The aim of this paper is improving the iris segmentation with the Contourlet transform. At first iris segmentation performed by canny edge detector and Hough Transform. By this approach some images don’t segmented properly, so we want to find a way to correct the image segmentation failures.
Hadi Seyedarabi +2 more
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Ensemble classification of integrated CT scan datasets in detecting COVID-19 using feature fusion from contourlet transform and CNN. [PDF]
Sci Rep, 2023 Nur-A-Alam M +5 more
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Fingerprints Identification Using Contourlet Transform
Engineering and Technology Journal, 2017 This paper suggests the use of contourlet transform for efficient feature extraction of fingerprints for identification purposes. Back propagated neural network is then used as a classifier. Two fingerprints databases are used to test the system. These include fingerprints images with different positions, rotations and scales to test the robustness of ...
T.M. Salman, M.K.M. Al-Azawi
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Using fused Contourlet transform and neural features to spot COVID19 infections in CT scan images. [PDF]
Intell Syst Appl, 2023 A-Alam N, Khan MSI, Nasir MK.
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