Results 81 to 90 of about 311,920 (239)

Wavelet Quadtree Contrast Limited Adaptive Histogram Equalisation Tablet Enhancement Method for Defect Detection in Low‐Contrast Tablets

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel image enhancement method, WCTE, which integrates Haar wavelet transform and adaptive CLAHE to improve the visibility of low‐contrast tablet images. Combined with the YOLOv11 model, this approach significantly boosts defect detection accuracy, especially for half‐grain and paste tabtal.
Zimei Tu, Qinna Wang, Zhicheng Jiang, Jinhua Jiang   +3 more
wiley   +1 more source

Image Compression using Haar and Modified Haar Wavelet Transform

Tikrit Journal of Engineering Sciences, 2011
Efficient image compression approaches can provide the best solutions to the recent growth of the data intensive and multimedia based applications. As presented in many papers the Haar matrix–based methods and wavelet analysis can be used in various areas of image processing such as edge detection, preserving, smoothing or filtering.
Mohannad Abid Shehab Ahmed, Haithem Taha, Musab Tahseen Salah Aldeen   +2 more
openaire   +3 more sources

AHD‐YOLO: An Adaptive Hybrid Dynamic Network for Building Damage Detection

IET Image Processing, Volume 20, Issue 1, January/December 2026.
To address the issues of limited detection accuracy and high computational resource consumption in current deep learning‐based building damage detection, we propose a novel framework, AHD YOLO, built upon YOLOv11. AHD YOLO achieves an optimal balance between detection performance and computational resource efficiency, demonstrating strong potential for
Min Li, Tao Xu, Yinping Jiang, Peiyong Ji, Jingqi Hu, Wenlong Lui, Xuejian Ji, Ruiqiang Guo   +7 more
wiley   +1 more source

Relationships among Interpolation Bases of Wavelet Spaces and Approximation Spaces [PDF]

, 2012
A multiresolution analysis is a nested chain of related approximation spaces.This nesting in turn implies relationships among interpolation bases in the approximation spaces and their derived wavelet spaces.
Kon, Mark A., Zhang, Zhiguo
core  

A Novel Image Steganographic Method Based on Enhanced PIWT and Modified Optimal Pixel Adjustment Process

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel image steganographic method based on an enhanced Pyramid Integer Wavelet Transform (PIWT) combined with a Modified Optimal Pixel Adjustment Process (MOPAP). The PIWT enables integer‐to‐integer transformation, avoiding floating‐point computations and improving its suitability for efficient implementation.
Ali Yahya Al‐Ashwal, Waled Hussein Al‐Arashi, Mohammed Mohsen Alkhawlani   +2 more
wiley   +1 more source

MFR‐UNet: A Medical Image Segmentation Network With Fused Multi‐Scale Feature Refinement

IET Systems Biology, Volume 20, Issue 1, January/December 2026.
Addressing the challenges of CNN‐based methods (especially U‐Net and its variants) in medical image segmentation—such as difficulties in capturing long‐range dependencies and insufficient refinement of multi‐scale features—this paper proposes the MFR‐UNet architecture integrated with a multi‐scale feature refinement mechanism, which enhances ...
Shaoqiang Wang, Guiling Shi, Shuo Sun, Yuchen Wang, Yulin Zhang, Weixian Li, Yawu Zhao, Xiaochun Cheng   +7 more
wiley   +1 more source

Performance Evaluation of Discrete Wavelet Transform and Machine Learning Based Techniques for Classifying Power Quality Disturbances

IEEE Access
This paper evaluates the performance of six different machine learning (ML) algorithms for classifying power quality disturbances (PQDs), with statistical features extracted using discrete wavelet transform (DWT) as feature input.
Uvesh Sipai, Rajendrasinh Jadeja, Nishant Kothari, Tapankumar Trivedi, Rajesh Mahadeva, Shashikant P. Patole   +5 more
doaj   +1 more source

Haar-LikeWavelets over Tetrahedra

Journal of Computer Science and Technology, 2017
In this paper we define a Haar-like wavelets basis that form a basis for L2(T,S,μ), μ being the Lebesgue measure and S the σ -algebra of all tetrahedra generated from a subdivision method of the T tetrahedron.
Liliana Beatriz Boscardín, Liliana Raquel Castro, Silvia Mabel Castro   +2 more
doaj   +1 more source

Lung Lesion Segmentation Using Gaussian Filter and Discrete Wavelet Transform

ITM Web of Conferences, 2017
Lung cancer is the growth of a tumour, referred to as a nodule that arises from cells covering the airways of the respiratory arrangement. Effective detection of lung cancer at premature stages enables any cure options, and reduce risk of insidious ...
Dimililer Kamil, Hesri Ali, Ever Yoney Kirsal   +2 more
doaj   +1 more source

A well-balanced adaptive Haar wavelet finite volume scheme for 1D free surface water flows

Ain Shams Engineering Journal, 2019
This paper studies a Haar-wavelet based finite volume method in terms of its capability of preserving a well-balanced property compared to the classical finite volume method, as well as with its application on the real case of the shallow water flow ...
Dilshad A. Haleem
doaj   +1 more source