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Advances in Image Enhancement

In the era of the Internet of Things, images have played important roles in human-computer interactions, and with the arrival of big data technology, people have higher requirements regarding image quality, especially for images collected in dark light. This can be addressed through the development...

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Bibliographic Details
Main Author: Tian, Chunwei
Other Authors: Ren, Wenqi, Liang, Yudong
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Particle Swarm Optimization
Image Denoising
Blind Watermark Removal
Probability Update
Wavelet Transform
Feature Fusion
Complex Background
Autoencoder
Map Building
Capsule Network
Adaptive Adjustment
Deep Learning
Active Contour
Zero-reference
Generative Adversarial Networks
Serial Architecture
Multiple Domains
Image Enhancement
Se-block
Night Image Dehazing
Power Line Scene Recognition
Non-local Mean Filter
Ghost Module
Translate Images
Randla-net
Random Sampling
Medical Image
Object Detection
Wavelet Scattering
Information Technology Industries / Bicssc
Layered Projection
Attention Mechanism
Yolov5
Encoder-decoder Architecture
Image Fusion
A-star Algorithm
Resnet
Side-scan Sonar
Least Squares Method
Fine Learning Block
Ndt Registration
Optimization Algorithm
Path Planning
Image Stitching
K-means Clustering
Dhv Recognition
Computer Science / Bicssc
Convolutional Neural Networks
Electronic Bidding
Segmentation
Loss Function
Dynamic Scene
Image Super-resolution
Stereo Correction
Dual Networks
Cnn
System Design
Blockchain Technology
Low Illumination
Camera Calibration
Semantic Segmentation
U-net
Color Moments
Histogram Equalization
Gan
Binocular Ranging
Retinex Theory
Spline Interpolation
Multi-scale Network
Cross Stage Partial Network
Hog
Yolov5s
Restart Strategy
Artificial Potential Field Method
Multi-channel
Image Segmentation
Enhanced Cnn
Visual Slam
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:In the era of the Internet of Things, images have played important roles in human-computer interactions, and with the arrival of big data technology, people have higher requirements regarding image quality, especially for images collected in dark light. This can be addressed through the development of camera hardware quality, i.e., the resolution and exposure time of cameras, which may require high computational costs. As an alternative, image enhancement techniques can exact salient features to improve the quality of captured images according to the differences in diverse features, although they suffer from some challenges, i.e., a low contrast, artifacts, and overexposure, thus making it decidedly necessary to determine how to use advanced image enhancement techniques. The topic of advances in the image enhancement of electronics is presented in this reprint, which brings together the research accomplishments of researchers from academia and industry. The secondary goal of this reprint is to display the latest research results of advances in image enhancement.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (330 p.)
ISBN:books978-3-0365-7940-5
9783036579405
9783036579412

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