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Image enhancement
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The intricacies and limitations of AI-driven medical image analysis are the focus of this paper, particularly challenges in acquiring, preprocessing, and analyzing medical imaging data. We explore how Artificial Intelligence (AI) presents significant potential to revolutionize this field: improving diagnostic accuracy; streamlining workflows–even enhancing patient outcomes.
10p
viyamanaka
06-02-2025
2
2
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In this paper, we propose a novel framework for natural language-based trackedvehicle retrieval based on CLIP model, one of the most effective models for image-text matching task. This framework leverages both appearance and motion information to enhance the matching accuracy of vehicle tracklet retrieval.
15p
viyamanaka
06-02-2025
2
2
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Machine learning and computer vision play pivotal roles in detecting product defects across various industries, enhancing effectiveness, precision, and minimizing labor expenditures. This journalutilizes image manipulation through the OpenCV, coupled with machine learning employing the ResNet-50 model, to specifically identify surface defects and dimensions in bearings.
5p
vibenya
31-12-2024
4
1
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Ultrasound tomography is a non-invasive imaging technique that seeks to determine the internal distribution of acoustic properties within the body by analyzing measured ultrasound data. Based on the distorted Born iterative method (DBIM), this work suggests employing resolution-jumping and beamforming techniques for tomographic ultrasound imaging.
11p
vibenya
31-12-2024
5
2
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Digital Image Processing: Image Enhancement - Duong Anh Duc presents about Image Enhancement; Point Operations; Image Negative; Contrast Stretching; Compression of Dynamic Range; Image Averaging for noise reduction; Some Averaging Filters; Some Typical Histograms.
78p
cocacola_08
21-11-2015
69
4
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Digital Image Processing: Image Enhancement Frequency domain methods - Duong Anh Duc provides about Image Enhancement - frequency domain methods; 1-d Fourier transform of a sequence; 2-d Fourier transform of a digital image; Fourier Transform of “Rice” Image; Importance of Phase Information in Images;...
86p
cocacola_08
21-11-2015
67
4
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Digital Image Processing: Image Restoration - Duong Anh Duc includes Image Restoration; Restoration vs. Enhancement; Degradation Model; Gaussian noise; Erlang(Gama) noise; Exponential noise; Impulse (salt-and-pepper) noise; Plot of density function of different noise models.
81p
cocacola_08
21-11-2015
65
4
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Digital Image Processing: Image Enhancement Spatial Filtering - Duong Anh Duc includes Image Enhancement - Spatial Filtering; How to specify T; Smoothing Filters; Image smoothing by averaging (lowpass spatial filtering); Image Sharpening; High-boost filtering; Prewitt operators.
40p
cocacola_08
21-11-2015
61
3
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Trong các chương trước, chúng ta đã nghiên cứu một vài tác dụng của các phép toán xử lý ảnh nào đó trên các ảnh. Những kết quả này có thể được giải thích bằng các phép toán đơn giản. Vì thế, chúng ta không đề cập đến các kết quả lấy mẫu, độ phân giải không gian hay các phép toán phổ biến được nói đến như tăng cường ảnh (image enhancement). Trong phần 2, chúng ta sẽ đưa ra những câu hỏi về vấn đề lấy mẫu, độ phân giải và lọc tuyến tính, một phương pháp tiếp cận phổ biến sử dụng cho việc tăng cường ảnh.
23p
kexauxi4
01-10-2019
52
8
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This study, which focuses on vocabulary teaching methods, is going to investigate the application of multimodality to the vocabulary learning of students from the perspectives of using images in some communicative activities to enhance students‟ vocabulary retention. The major aim of the research is to investigate whether the use of images in vocabulary teaching can help improve students‟ vocabulary retention. The participants in the study are students at Hanoi Architectural University.
86p
closefriend09
16-11-2021
33
6
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The thesis mainly aims to solve the following tasks: Firstly, the thesis extensively analyzes a wide range of existing approaches for the ME detection in scientific document images. Then, the thesis investigates and proposes novel methods to improve the detection accuracy of MEs. After enhancing the detection accuracy of MEs, the thesis investigates and pro poses a framework to improve the accuracy of the recognition of MEs in scientific document images.
27p
closefriend09
16-11-2021
23
4
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The thesis mainly aims to solve the following tasks: Firstly, the thesis extensively analyzes a wide range of existing approaches for the ME detection in scientific document images. Then, the thesis investigates and proposes novel methods to improve the detection accuracy of MEs. After enhancing the detection accuracy of MEs, the thesis investigates and pro poses a framework to improve the accuracy of the recognition of MEs in scientific document images.
154p
mintmintt
05-10-2021
16
4
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The thesis aims to study the problems of image processing under the approach of HA theory. Building a gray level transformation function in S form to enhance the contrast for color images to apply HA. New homogeneity with hedge algebra applies to enhance contrast for color images. Building a photo fading transformation that applies to multi-channel images does not lose image detail.
31p
xacxuoc4321
09-07-2019
18
2
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Resolution Enhancement by Prediction of the High-Frequency Image Based on the Laplacian Pyramid
11p
dauphong20
11-03-2012
38
7
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Piecewise Linear Model-Based Image Enhancement Fabrizio Russo
9p
sting12
11-03-2012
33
3
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Automatic Image Enhancement by Content Dependent Exposure Correction
12p
sting12
11-03-2012
43
4
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EURASIP Journal on Applied Signal Processing 2003:5, 430–436 c 2003 Hindawi Publishing Corporation An Approach to Adaptive Enhancement of Diagnostic X-Ray Images ¨ Hakan Oktem Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, 33101 Tampere, Finland Email: oktem@cs.tut.fi Karen Egiazarian Institute of Signal Processing, Tampere University of Technology, P.O. Box 553, 33101 Tampere, Finland Email: karen@cs.tut.fi Jarkko Niittylahti Atostek Ltd., Hermiankatu 8D, FIN-33720 Tampere, Finland Email: jarkko.niittylahti@atostek.com Juha Lemmetti Atostek Ltd.
7p
sting12
10-03-2012
39
4
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: From Matched Spatial Filtering towards the Fused Statistical Descriptive Regularization Method for Enhanced Radar Imaging
9p
sting11
09-03-2012
41
4
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Image Resolution Enhancement via Data-Driven Parametric Models in the Wavelet Space
12p
sting11
09-03-2012
41
5
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Emerging Methods for Color Image and Video Quality Enhancement
2p
sting05
09-02-2012
60
7
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