Results 21 to 30 of about 901 (179)
BRAIN MR IMAGE SEGMENTATION BY MODIFIED ACTIVE CONTOURS AND CONTOURLET TRANSFORM
ICTACT Journal on Image and Video Processing, 2017 Multiresolution analysis is often used for image representation and processing because it can represent image at the split resolution and scale space.
P Nageswara Reddy +2 more
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European Journal of Remote Sensing, 2019 Many cities in developing countries are facing rapid growth of dynamic slum areas but often lack detailed information and analysis on these informal settlements. Multiresolution analysis (MRA) has been successfully used in texture analysis.
Rizwan Ahmed Ansari +1 more
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FUSION OF LANDSAT- 8 THERMAL INFRARED AND VISIBLE BANDS WITH MULTI-RESOLUTION ANALYSIS CONTOURLET METHODS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Land surface temperature image is an important product in many lithosphere and atmosphere applications. This image is retrieved from the thermal infrared bands. These bands have lower spatial resolution than the visible and near infrared data. Therefore,
F. Farhanj, M. Akhoondzadeh
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Image Denoising With Contourlet Transform
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: Sound causes image degradation during detection, processing, signal processing, and transmission through sound channels. Noise removal is a technique for eliminating noise from photographs. Denoising refers to the process of removing noise from a picture.
Smita Vasant Tempe +1 more
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Multispinning for Image Denoising
Journal of Intelligent Systems, 2012 The problem of reconstructing digital images from degraded measurements is regarded as a problem of importance in various fields of engineering and imaging science. The main goal of denoising is to restore a noisy image to produce a visually high quality
Aravind B. N., Suresh K. V.
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Journal of Electrical and Computer Engineering, 2017 According to the pros and cons of contourlet transform and multimodality medical imaging, here we propose a novel image fusion algorithm that combines nonlinear approximation of contourlet transform with image regional features.
Hui Huang, Xi’an Feng, Jionghui Jiang
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Digital image watermarking based on angle quantization in discrete contourlet transform
Journal of King Saud University: Computer and Information Sciences, 2017 A robust and transparent watermarking scheme based on contourlet transform and quantization index modulation is proposed in this paper. In proposal algorithm, after taking contourlet, the coefficients are divided into three quadrants by using the ...
Abdulmawla Najih +4 more
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Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating multiscale attention module and an attention‐guided dual‐path fusion module to strengthen multiscale perception and cross‐layer feature interaction.
Yi Liu +4 more
wiley +1 more source
An Adaptive Contourlet HMM–PCNN Model of Sparse Representation for Image Denoising
IEEE Access, 2019 In this paper, we propose a novel model of sparse representation for image denoising that we call an adaptive contourlet hidden Markov model (HMM)-pulse-coupled neural network (PCNN).
Guoan Yang +3 more
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ContSteg: Contourlet-Based Steganography Method
Wireless Sensor Network, 2009 A category of techniques for secret data communication called steganography hides data in multimedia me-diums. It involves embedding secret data into a cover-medium by means of small perceptible and statistical degradation. In this paper, a new adaptive steganography method based on contourlet transform is presented that provides large embedding ...
Hedieh Sajedi, Mansour Jamzad
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