Results 51 to 60 of about 32,314 (198)
Using of the Moore-Penrose Inverse Matrix in Image Restoration [PDF]
, 2013 A method for digital image restoration, based on the Moore- Penrose inverse matrix, has many practical applications. We apply the method to remove blur in an image caused by uniform linear motion. This method assumes that linear motion corresponds to an
Miladinovic, Marko +2 more
core
PSNR Improvement Using Different Prediction Coding
Tikrit Journal of Engineering Sciences, 2015 Differential Pulse Code Modulation (DPCM) is one of the predictive coding techniques. The number of previous pixels employed in the estimate operation is referred to as the order of the predictor. Predictor using one pixel for estimation is called “first
Khamies Khalaf Hasan
doaj
An Advanced AFWMF Model for Identifying High Random-Valued Impulse Noise for Image Processing
Applied Sciences, 2021 In this study, a novel adaptive fuzzy weighted mean filter (AFWMF) model based on the directional median technique and fuzzy inference is presented for solving the restoring high-ratio random-valued noise in image processing. This study aims, not only to
Jieh-Ren Chang +3 more
doaj +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Advanced Intelligent Discovery, EarlyView.Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
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
Posterior Mean Super-Resolution with a Compound Gaussian Markov Random Field Prior
, 2012 This manuscript proposes a posterior mean (PM) super-resolution (SR) method with a compound Gaussian Markov random field (MRF) prior. SR is a technique to estimate a spatially high-resolution image from observed multiple low-resolution images. A compound
Inoue, Masato, Katsuki, Takayuki
core +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications
, 2019 Networked video applications, e.g., video conferencing, often suffer from poor visual quality due to unexpected network fluctuation and limited bandwidth.
Cheng, Ming +5 more
core +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
New Method for Measuring the Detail Preservation of Noise Removal Techniques in Digital Images [PDF]
, 2015 It is known that cancelling the noise without blurring the image details is a very difficult task for any image denoising technique. The availability of metrics for accurate evaluation of filtering distortion is thus of paramount importance for the ...
Russo, Fabrizio
core