Results 41 to 50 of about 32,314 (198)
To overcome two‐dimensional modulation bottlenecks, Hadamard Matrix Slicing Single‐Pixel Imaging (HMS‐SPI) establishes an efficient one‐dimensional imaging paradigm. By slicing the traditional Hadamard matrix into one‐dimensional encoding vectors and spatially expanding them, the required measurement patterns decrease by a factor of N.
Xiaoxue Li +8 more
wiley +1 more source
Blockwise SURE Shrinkage for Non-Local Means
In this letter, we investigate the shrinkage problem for the non-local means (NLM) image denoising. In particular, we derive the closed-form of the optimal blockwise shrinkage for NLM that minimizes the Stein's unbiased risk estimator (SURE).
Natarajan, Premkumar +3 more
core +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
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
Implementing a Video Quality Metric in the H.264/AVC Decoder [PDF]
V tejto diplomovej práci je predstavený a aplikovaný algoritmus pre hodnotenie kvality videosekvencií zakódovaných pomocou štandardu H.264. Ako merítko kvality obrazu je použitá objektívna metrika špičkový pomer signálu k šumu (PSNR).
Grúbel, Michal
core
WAVELET TRANSFORMS FOR EEG SIGNAL DENOISING AND DECOMPOSITION
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
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
Design and Simulation of Hiding Message Encrypted using Pseudo Random Number and Sequential Encoding
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
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
Non-local Means Image Denoising Algorithm of Improved Weighting Function [PDF]
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
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

