Results 41 to 50 of about 12,815 (208)
Advanced Science, EarlyView.We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source
MEDICAL IMAGE DENOISING USING ADAPTIVE THRESHOLD BASED ON CONTOURLET TRANSFORM
, 2018 Image denoising has become an essential exercise in medical imaging especially the Magnetic Resonance Imaging (MRI). This paper proposes a medical image denoising algorithm using contourlet transform.
S.Satheesh
core +1 more source
WAVELET TRANSFORMS FOR EEG SIGNAL DENOISING AND DECOMPOSITION
International Journal of Advances in Signal and Image Sciences, 2023 EEG signal analysis is difficult because there are so many unwanted impulses from non-cerebral sources. Presently, methods for eliminating noise through selective frequency filtering are afflicted with a notable deprivation of EEG information. Therefore,
Ibtihal Hassan Elshekhidris +2 more
doaj +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Design and Simulation of Hiding Message Encrypted using Pseudo Random Number and Sequential Encoding
مجلة النهرين للعلوم الهندسية, 2017 In this paper, a hiding encrypted message using pseudo random number generator and sequential encoding is proposed. This algorithm can provide better security of hiding information in image.
Sabah A. Gitaffa
doaj
Advanced Intelligent Discovery, EarlyView.Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
COMPARISON OF ONE DIMENSIONAL DCT AND LWT SPARSE REPRESENTATION [PDF]
, 2010 COMPARISON OF ONE DIMENSIONAL DCT AND LWT SPARSE REPRESENTATION - Penginderaan kompresif, sparse, basis, discrete cosine transform (DCT), lifting wavelet transform (LWT), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR)
KURNIAWATY, KURNIAWATY +2 more
core
ROBUST IMAGE TRANSMISSION USING SPIHT AND TURBO- CODES
Electrica, 2008 This work describes a method for providing robustness to errors from a binary symmetric channel for the SPIHT image compression. The source rate and channel rate are jointly optimized by a stream of fixed-size channel packets.
Abdelmounaim MOULAY LAKHDAR +2 more
doaj +2 more sources
Non-local Means Image Denoising Algorithm of Improved Weighting Function [PDF]
Jisuanji gongcheng, 2016 In order to solve inflexible rotation and translation in measuring neighborhood similarity for structural characteristics in Non-local Means(NLM) denoising method,this paper presents the NLM image denoising algorithm based on Normalized Moment of Inertia(
ZHANG Na,LIU Hui,SHANG Zhenhong,ZOU Binyi
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source