Fast Single Image Defogging With Robust Sky Detection

Salazar-Colores, Sebastián; Moya-Sánchez, E. Ulises; Ramos-Arreguín, Juan Manuel; Cabal-Yépez, Eduardo; Flores, Gerardo; Cortés, Ulises

doi:10.1109/access.2020.3015724

Cited by 22 publications

(10 citation statements)

References 44 publications

(84 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The flowchart depicted in Figure 4 shows the general procedure to perform the digital image treatment to determine the local flow velocities through the reactor. A description of a similar algorithm of treatment is given elsewhere, 20 and herein, a general perspective of this method is only provided.…”

Section: Digital Image Treatmentmentioning

confidence: 99%

Effect of Flow Distributor Configuration on the Hydrodynamics in a Multipurpose Flow Electrochemical Reactor: Numerical Analysis and Experimental Characterization Employing Digital Image Treatment

López-Maldonado

Salazar-Colores

Piedra

et al. 2023

Ind. Eng. Chem. Res.

Self Cite

View full text Add to dashboard Cite

Electrochemical reactors with a flat parallel plate electrode configuration and diverse flow channel designs have been extensively used in the study of different electrochemical processes at lab and bench scales, and they have been scaled up for some electrosynthesis and energy-storage processes at semipilot and industrial levels. Progress in the electrochemical process applications demands the use of different computer and experimental-assisted techniques to design novel electrochemical reactors. The objective of this work is to evaluate the hydrodynamic performance of different electrochemical reactor designs and quantify their effect on velocity magnitude through numerical and experimental studies using computational techniques like computational fluid dynamics (CFD) and digital image treatment. For local velocity magnitude measurements, a digital imaging treatment, based on the use of an optical flow algorithm, to try the validation of velocity profiles obtained by CFD is implemented. This experimental technique determined reliably that the problems associated with the use of the empty channel in the flow pattern are mainly associated with high velocities and recirculation zones, which are not detected by CFD simulations in the first instance. Also, the findings associated with the velocity behavior using this proposed technique agreed with those obtained by the traditional experimental flow characterization technique like residence time distribution, nevertheless, further work will be needed to refine the measurements and perform its comparison with other most employed velocimetry techniques.

show abstract

Section: Digital Image Treatmentmentioning

confidence: 99%

Effect of Flow Distributor Configuration on the Hydrodynamics in a Multipurpose Flow Electrochemical Reactor: Numerical Analysis and Experimental Characterization Employing Digital Image Treatment

López-Maldonado

Salazar-Colores

Piedra

et al. 2023

Ind. Eng. Chem. Res.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this section, the benefits of our proposed method are evaluated in terms of computational complexity with respect to images of different sizes. Table 1 represents the comparative analysis of computational complexity with the G. Wang's method [43], W. Wang's method [37], two methods proposed by A. Sabir [44], S. Salazar-Colores's method [45] and our proposed method. Our proposed method requires much less processing time than other stated techniques under similar software and hardware conditions.…”

Section: Comparison With Other Techniquesmentioning

confidence: 99%

“…A semi-automatic approach is used to separate the foggy sky and non-sky region. S. Salazar-Colores's method [45] gives a better defogged result, though the computational complexity increases with the size of the image.…”

Section: Comparison With Other Techniquesmentioning

confidence: 99%

Image Defogging Framework Using Segmentation and the Dark Channel Prior

Anan

Khan

Kowsar

et al. 2021

Entropy

View full text Add to dashboard Cite

Foggy images suffer from low contrast and poor visibility problem along with little color information of the scene. It is imperative to remove fog from images as a pre-processing step in computer vision. The Dark Channel Prior (DCP) technique is a very promising defogging technique due to excellent restoring results for images containing no homogeneous region. However, having a large homogeneous region such as sky region, the restored images suffer from color distortion and block effects. Thus, to overcome the limitation of DCP method, we introduce a framework which is based on sky and non-sky region segmentation and restoring sky and non-sky parts separately. Here, isolation of the sky and non-sky part is done by using a binary mask formulated by floodfill algorithm. The foggy sky part is restored by using Contrast Limited Adaptive Histogram Equalization (CLAHE) and non-sky part by modified DCP. The restored parts are blended together for the resultant image. The proposed method is evaluated using both synthetic and real world foggy images against state of the art techniques. The experimental result shows that our proposed method provides better entropy value than other stated techniques along with have better natural visual effects while consuming much lower processing time.

show abstract

“…Among them, image enhancement-based defogging algorithms [5][6][7] take no consideration for the image degradation model but increase the contrast to obtain the visual defogged effect, resulting in distortion of defogged clear images. On the contrary, image restoration-based methods [8][9][10][11][12][13] consider the degradation process of foggy images, so the defogged clear images restored by these methods are closer to the real scene.…”

Section: Introductionmentioning

confidence: 99%

An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy

Fang

Huang

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Dark channel prior (DCP) has been widely used in single image defogging because of its simple implementation and satisfactory performance. This paper addresses the shortcomings of the DCP-based defogging algorithm and proposes an optimized method by using an adaptive fusion mechanism. This proposed method makes full use of the smoothing and “squeezing” characteristics of the Logistic Function to obtain more reasonable dark channels avoiding further refining the transmission map. In addition, a maximum filtering on dark channels is taken to improve the accuracy of dark channels around the object boundaries and the overall brightness of the defogged clear images. Meanwhile, the location information and brightness information of fog image are weighed to obtain more accurate atmosphere light. Quantitative and qualitative comparisons show that the proposed method outperforms state-of-the-art image defogging algorithms.

show abstract

Fast Single Image Defogging With Robust Sky Detection

Abstract: The authors would like to thank CIO ("Centro de Investigaciones en Óptica") for the financial support of this research.

Cited by 22 publications

References 44 publications

Effect of Flow Distributor Configuration on the Hydrodynamics in a Multipurpose Flow Electrochemical Reactor: Numerical Analysis and Experimental Characterization Employing Digital Image Treatment

Effect of Flow Distributor Configuration on the Hydrodynamics in a Multipurpose Flow Electrochemical Reactor: Numerical Analysis and Experimental Characterization Employing Digital Image Treatment

Image Defogging Framework Using Segmentation and the Dark Channel Prior

An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy

Contact Info

Product

Resources

About