Results 91 to 100 of about 36,775 (242)

Image Haze Removal Method Based on Histogram Gradient Feature Guidance. [PDF]

Int J Environ Res Public Health, 2023
Huang S, Zhang Y, Zhang O.
europepmc   +1 more source

The barley–malt–beer chain: A process and food safety approach

JSFA reports, EarlyView.
Abstract This review addresses the current state of knowledge on the barley–malt–beer chain and its main physical, chemical, and microbiological contaminants, with particular emphasis on spoilage microorganisms and their toxic metabolites. The barley–malt–beer production chain represents a mature and globally relevant agro‐industrial sector that ...
José Gómez‐Espinoza, Miguel Angel Avila‐Perches, Daniela Gómez‐Espinoza, Miguel Ángel Guzmán‐Altamirano, Alfredo Josué Gámez‐Vázquez, María Guadalupe Gómez‐Espinoza   +5 more
wiley   +1 more source

Spatial-Characteristics Driven Transmission Map Estimation for the Haze Removal in Sentinel-2 Spectral Bands Using the S2 China Hazy-MSI Dataset

IEEE Access
The Sentinel-2 satellite-based Multi-Spectral Imagery (MSI) is crucial for Earth observations owing to its high spectral and spatial resolution. However, the bands of this satellite MSI may be affected by the haze at various times due to changes in ...
Balla Pavan Kumar, Aravinth J, Sankaran Rajendran, Arvind Mukundan   +3 more
doaj   +1 more source

Image Dehazing and Enhancement Using Principal Component Analysis and Modified Haze Features

Applied Sciences, 2018
This paper presents a computationally efficient haze removal and image enhancement methods. The major contribution of the proposed research is two-fold: (i) an accurate atmospheric light estimation using principal component analysis, and (ii) learning ...
Minseo Kim, Soohwan Yu, Seonhee Park, Sangkeun Lee, Joonki Paik   +4 more
doaj   +1 more source

Improved Haze Removal Algorithm by using Color Normalization and Haze Rate Compensation

Journal of Broadcast Engineering, 2015
123452678)9:; 3?@ABC!;DE. A`5ab &QcdeA2!8fg hiji5 k!`E. U#, RGB de!l8mJn o(`5?@!]^%12Aabpq1rANO!sP_5 k!tu#E. v 34512Aw1r xyz{$%B H"#Q, &)K|}z{sP%1r LMK &L5~ #E. L5'()* p€6WJ k L(=‚ADCP '()*Eƒ„Hz{K & †`E. AbstractIt is difficult to use a recognition algorithm of an image in a foggy environment because the color and edge information is removed. One of
Jong-Hyun Kim, Hyung-Tai Cha
openaire   +2 more sources

Comparing non‐staining methods with Mutvei's solution to visualize growth increments in short‐lived intertidal marine gastropod shells

Limnology and Oceanography: Methods, EarlyView.
Abstract Mutvei's solution is a widely utilized standard staining method for revealing growth increments in biogenic carbonates; however, it is a slightly toxic, destructive approach with varying success across species groups. Therefore, there has been growing interest in finding non‐toxic, less destructive, and straightforward alternative techniques ...
Mahsa Alidoostsalimi, Amy L. Prendergast, Sean Ulm, Ariana B. J. Lambrides, Ian J. McNiven, Russell N. Drysdale, Nguurruumungu Indigenous Corporation, Walmbaar Aboriginal Corporation RNTBC   +7 more
wiley   +1 more source

Digital nature in the AI era: How human and AI‐generated representations shape future visions of rewilding

People and Nature, EarlyView.
Abstract Rewilding has gained significant influence in nature conservation, offering hopeful narratives that address the interconnected challenges of climate change and biodiversity loss while enabling people to reconnect with ‘wildness’ in the Anthropocene.
Flurina M. Wartmann, Emma Cary
wiley   +1 more source

UIDF-Net: Unsupervised Image Dehazing and Fusion Utilizing GAN and Encoder–Decoder

Journal of Imaging
Haze weather deteriorates image quality, causing images to become blurry with reduced contrast. This makes object edges and features unclear, leading to lower detection accuracy and reliability.
Anxin Zhao, Liang Li, Shuai Liu
doaj   +1 more source

Automatic hazy image enhancement via haze distribution estimation

Advances in Mechanical Engineering, 2018
Since the impact of haze on outdoor imaging varies sharply with the scene depth, hazy image enhancement proves to be a challenging task. In this article, we propose an adaptive image enhancement method for haze removal.
Xuemei Wang, Mingye Ju, Dengyin Zhang
doaj   +1 more source

Haze Removal Algorithm for Optical Remote Sensing Image Based on Multi-Scale Model and Histogram Characteristic

IEEE Access, 2019
Optical imaging remote sensing technology is an important technical means to obtain information of ground objects, but it is restricted by bad weather such as clouds, rain, and haze.
Shiqi Huang, Dan Li, Weiwei Zhao, Yang Liu   +3 more
doaj   +1 more source