Results 21 to 30 of about 4,248,427 (280)
Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model [PDF]
Remote Sensing, 2022 Compared with single-band remote sensing images, multispectral images can obtain information on the same target in different bands. By combining the characteristics of each band, we can obtain clearer enhanced images; therefore, we propose a ...
Weijie Chen +3 more
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Efficient single image dehazing by modifying the dark channel prior [PDF]
EURASIP Journal on Image and Video Processing, 2019 Outdoor images can be degraded due to the particles in the air that absorb and scatter light. The produced degradation generates contrast attenuation, blurring, and distortion in pixels, resulting in low visibility. These limit the efficiency of computer
Sebastián Salazar-Colores +3 more
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Single Remote Sensing Image Dehazing Using Robust Light-Dark Prior
Remote Sensing, 2023 Haze, generated by floaters (semitransparent clouds, fog, snow, etc.) in the atmosphere, can significantly degrade the utilization of remote sensing images (RSIs).
Jin Ning +3 more
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Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior. [PDF]
Sensors (Basel), 2021 In low illumination situations, insufficient light in the monitoring device results in poor visibility of effective information, which cannot meet practical applications.
Guo L, Jia Z, Yang J, Kasabov NK.
europepmc +2 more sources
A Multi-Scale Dehazing Network with Dark Channel Priors
Sensors, 2023 Image dehazing based on convolutional neural networks has achieved significant success; however, there are still some problems, such as incomplete dehazing, color deviation, and loss of detailed information. To address these issues, in this study, we propose a multi-scale dehazing network with dark channel priors (MSDN-DCP).
Guoliang Yang +4 more
openaire +3 more sources
Generalization of the Dark Channel Prior for Single Image Restoration [PDF]
IEEE Transactions on Image Processing, 2018 Images degraded by light scattering and absorption, such as hazy, sandstorm, and underwater images, often suffer color distortion and low contrast because of light traveling through turbid media. In order to enhance and restore such images, we first estimate ambient light using the depth-dependent color change.
Yan-Tsung Peng +2 more
openaire +5 more sources
A REVIEW ON COMPARATIVE ANALYSIS OF DEHAZING OF REMOTE SENSING IMAGES USING DIFFERENT FILTERS
ICTACT Journal on Image and Video Processing, 2021 Haze is an atmospheric phenomenon caused by scattering of atmospheric particles in air and these factor causes deterioration of images, captured by the sensors.
M Kamalam , N Ameena Bibi
doaj +1 more source
Efficient Dark Channel Prior Based Blind Image De-blurring [PDF]
Radioengineering, 2021 Dark channel prior for blind image de-blurring has attained considerable attention in recent past. An interesting observation in blurring process is that the value of dark channel increases after averaging with adjacent high intensity pixels.
J. Ahmad, I. Touqir, A. M. Siddiqui
doaj
Jurnal informatika UPGRIS, 2021 Ancaman terhadap kekayaan alam semakin terlihat, oleh karena itu upaya untuk melindungi populasi biota perairan sangat menantang bagi banyak negara. Upaya untuk mengatasi kerusakan terhadap populasi ikan asli telah dilakukan dengan mengurangi populasi ...
R.A. Pramunendar +3 more
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Segmentation-based image defogging using modified dark channel prior
EURASIP Journal on Image and Video Processing, 2020 Image acquisition under bad weather conditions is prone to yield image with low contrast, faded color, and overall poor visibility. Different computer vision applications including surveillance, object classification, tracking, and recognition get ...
Aneela Sabir +2 more
doaj +1 more source