Results 261 to 270 of about 3,321,086 (281)
Some of the next articles are maybe not open access.

Contrast Enhancement of Dark Images using Weighted Blending of Bright Channel Prior and Robust Retinex Method

2020 IEEE Bombay Section Signature Conference (IBSSC), 2020
The image took in the dark light has low contrast, which affects the clarity of details in it. This results in the loss of information and details in poorly illuminated images. Such images are not suitable for computer vision analysis and observations. In many places, images taken in the dark light like CCTV images at night, military, satellite images,
Sudeep D. Thepade, Mrunal E. Idhate
openaire   +1 more source

Image dehazing based on dark channel prior and brightness enhancement for agricultural remote sensing images from consumer-grade cameras

Computers and Electronics in Agriculture, 2018
Abstract Remote sensing technology has been widely used for monitoring crop fields and other agricultural applications. However, the clarity of remote sensing images is often affected by clouds and chaotic media in the atmosphere. Image dehazing can be achieved through the dark channel prior method (DCP), but there is always a brightness distortion ...
Jiawei Zhang   +5 more
openaire   +1 more source

Single Image Dehazing Based on Bright Channels Prior Compensation

2021 4th International Conference on Robotics, Control and Automation Engineering (RCAE), 2021
Chen Deng   +3 more
openaire   +1 more source

A Hybrid L2 −LP Variational Model For Single Low-Light Image Enhancement With Bright Channel Prior

2019 IEEE International Conference on Image Processing (ICIP), 2019
In this paper, we consider and study the norm variable and propose a hybrid L2−L p variational model with bright channel prior based on Retinex to decompose an observed image into a reflectance layer and an illumination layer. Different from the existing methods, our proposed model can preserve the reflectance layer with more fine details while ...
Gang Fu 0003, Lian Duan, Chunxia Xiao
openaire   +2 more sources

Dark Image Fusion-Based Contrast Enhancement using a weighted combination of Bright Channel Prior and Dark Channel Prior

2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 2022
Sudeep D. Thepade, Mrunal Idhate
openaire   +1 more source

Multiframe blind deconvolution based on bright and dark channel prior

International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 2023
openaire   +1 more source

Nighttime Image Dehazing based on Bright and Dark Channel Prior and Gaussian Mixture Model

Proceedings of the 2023 6th International Conference on Image and Graphics Processing, 2023
Jiazhi Yu   +4 more
openaire   +2 more sources

Spatiotemporal Video Dehazing Using Dark and Bright Channel Priors with Guided Filtering for Improved Visibility

Recently video surveillance in smart city projects is becoming more and more popular. Video surveillance plays an important role for security purposes and it is required high-quality images for video image analysis and recognition. Generally, high-quality image is required in video image analysis and recognition.
Hari, U, Bevi, a Ruhan
openaire   +1 more source

Improving the Contrast of Dark Images with Fusion Blending of Fraction-Order Fusion Model and Bright Channel Prior

2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON), 2021
Sudeep D. Thepade, Mrunal E. Idhate
openaire   +1 more source

Home - About - Disclaimer - Privacy