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541
Metahypermnesia: The Effects of Incentives and Item Types (Image vs. Word)
Published 2024-05-01“…The aim of the present study was to find out whether people would overestimate or underestimate their performance on a given hypermnesia task that used images and words. Additionally, the effect of monetary incentives on the image and word test were investigated. …”
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542
An Overview of the Topological Gradient Approach in Image Processing: Advantages and Inconveniences
Published 2010-01-01“…This paper aims at reviewing this methodology through various applications in image processing; in particular image restoration with edge detection, classification and segmentation problems for both grey level and color images is presented in this work. …”
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543
Preoperative Imaging Assessment and Staging of Perihilar Cholangiocarcinoma: Tips and Pitfalls
Published 2025-01-01Subjects: Get full text
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544
Multimodal Imaging of Acquired Vitelliform Lesion Diagnosed at Pseudohypopyon Stage
Published 2013-01-01“…To present a case study of a monocular acquired vitelliform lesion, studied with multimodal fundus imaging (spectral-domain-optical coherence tomography, fundus autofluorescence, and fluorescein angiography) with a followup of three years. …”
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545
Hybrid Depth-Separable Residual Networks for Hyperspectral Image Classification
Published 2020-01-01“…At present, the classification of the hyperspectral image (HSI) based on the deep convolutional network has made great progress. …”
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546
Ambient wing cistern: History, anatomy, imaging and approaches: An overview
Published 2025-01-01Get full text
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547
Energy-Driven Image Interpolation Using Gaussian Process Regression
Published 2012-01-01“…Image interpolation, as a method of obtaining a high-resolution image from the corresponding low-resolution image, is a classical problem in image processing. …”
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548
Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images
Published 2014-01-01“…International Journal of Biomedical Imaging…”
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549
2D Geoelectric Imaging of the Uneme-Nekhua Fracture Zone
Published 2014-01-01“…We have employed 2D geoelectric imaging to reveal the geometry and nature of a fracture zone in Uneme-Nekhua, southwestern Nigeria. …”
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550
Exploiting the Quantum Advantage for Satellite Image Processing: Review and Assessment
Published 2024-01-01Subjects: Get full text
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551
Medical Images Segmentation Based on Unsupervised Algorithms: A Review
Published 2021-04-01Subjects: “…Medical Images…”
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552
Examination of Secondary Students' Visual Images about Climate Change
Published 2022-10-01Get full text
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553
The SSIM index is not a metric and it is badly evaluate the similarity of images
Published 2019-08-01Subjects: “…image quality assessment…”
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554
Strengthening the Russian Image in the U.S. Society by the Non-Governmental Organizations
Published 2012-04-01Get full text
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555
THE ANALYSIS OF DIFFERENCES IN VISUAL PERCEPTION OF AXIAL VELOCITIES OBJECTS AND THEY IMAGES
Published 2015-04-01“…Differences in visual perception of objects and their two-dimensional images are analyzed in this research paper. Mathematical functions are given – they allow quantitatively estimate difference between axial velocities image of object as function for spectator and observer. …”
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556
ASM-Based Objectionable Image Detection in Social Network Services
Published 2014-03-01“…This paper presents a method for detecting harmful images using an active shape model (ASM) in social network services (SNS). …”
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557
Image Encryption Based on Dynamic Filtering and Bit Cuboid Operations
Published 2019-01-01“…However, due to some intrinsic characteristics of images, image security is still a challenging task. …”
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558
Evolution-Operator-Based Single-Step Method for Image Processing
Published 2006-01-01“…International Journal of Biomedical Imaging…”
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559
Cryptanalysis of an Image Encryption Algorithm Using DNA Coding and Chaos
Published 2025-01-01Subjects: Get full text
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560
l0 Sparsity for Image Denoising with Local and Global Priors
Published 2015-01-01“…We propose a l0 sparsity based approach to remove additive white Gaussian noise from a given image. To achieve this goal, we combine the local prior and global prior together to recover the noise-free values of pixels. …”
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