Results 41 to 50 of about 10,267 (252)

Impact of H.264/AVC and H.265/HEVC Compression Standards on the Video Quality for 4K Resolution

Advances in Electrical and Electronic Engineering, 2014
This article deals with the impact of H.264/AVC and H.265/HEVC compression standards on the video quality for 4K resolution. In the first part a short characteristic of both compression standards is written.
Miroslav Uhrina, Jaroslav Frnda, Lukas Sevcik, Martin Vaculik   +3 more
doaj   +1 more source

Secure And Robust Qr Code Embedded In Medical Image Using Ssim And Ms-ssim

, 2023
Two main technique used for information secure transmission in internet are cryptography and stenography. Now days the Quick Response (QR) codes have been widely used in important applications such as data storage and high-speed machine reading in information security.
Mr. N. Senthilnathan, Dr. A. Adaikalam
openaire   +1 more source

Application of convolutional neural networks trained on optical images for object detection in radar images

Компьютерная оптика
Due to the small number of annotated radar image datasets, the use of optical images for training neural networks designed to detect objects in radar images seems promising.
V.A. Pavlov, A.A. Belov, S.V. Volvenko, A.V. Rashich   +3 more
doaj   +1 more source

Research on Huffman algorithm based on PCA and SPIHT for image compression(基于主成分分析和分层树集合划分的Huffman算法图像压缩研究)

Zhejiang Daxue xuebao. Lixue ban, 2018
互联网的飞速发展，产生了大量的图像信息.为了减少图片占用的存储空间，提高图像质量，提出了一种将主成分分析(PCA)和分层树集合划分(SPIHT)压缩算法相结合的有损图像压缩算法.首先对图像进行主成分分解，选取主要特征值进行压缩，再利用SPIHT算法将图像分解成不同子带的小波系数进行压缩，对SPIHT压缩系数进行哈夫曼编码，实现图像二级压缩.将本文提出的算法与SPIHT、SPIHT的哈夫曼编码、JEPG2000、PCA压缩算法进行了比较，结果表明本算法较其他压缩算法具有更好的性能 ...
FANGXiansu(方炫苏), HUANGZhangcan(黄樟灿), CHENYaxiong(陈亚雄)   +2 more
doaj   +1 more source

nOMP: A New Sparse Solution to Enhance the SSIM Levels of OMP-Based Encoded Images

IEEE Access, 2022
This work comprises the development of a quality enhancement technique for image encoders that use compressive sensing. The recommended solution seeks to maximize the perceptual quality based objective function, unlike other sparse representation ...
A. N. Omara, Hesham Farouk, Sayed A. Mohamed   +2 more
doaj   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Reconstructed band-based SSIM vs band number using OMP, PSO-OMP and NSGA-III-OMP.

, 2022
(a) Reconstructed SSIM for Cuprite 1. (b) Reconstructed SSIM for Cuprite 2. (c) Reconstructed SSIM for Indian Pines. (d) Reconstructed SSIM for Pa-via University.
Li WANG (7551848), Wei WANG (10032944)
core   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

A novel image augmentation based on statistical shape and intensity models: application to the segmentation of hip bones from CT images

European Radiology Experimental, 2023
Background The collection and annotation of medical images are hindered by data scarcity, privacy, and ethical reasons or limited resources, negatively affecting deep learning approaches.
Jérôme Schmid, Lazhari Assassi, Christophe Chênes   +2 more
doaj   +1 more source