MAPD: An FPGA-Based Real-Time Video Haze Removal Accelerator Using Mixed Atmosphere Prior

Tan, Yanjie; Zhu, Yanyan; Huang, Zhaoyang; Tan, Hongli; Li, Keqin

doi:10.1109/tcad.2023.3291670

Cited by 5 publications

(11 citation statements)

References 42 publications

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“…Then we will also compare with several other image defogging methods both in recovery quality and the time consuming. To verify our improved algorithm, we compare our algorithm with Liu et al, 12 Upadhyay and Sarawadekar, 13 Tan et al, 14 and Lee el al. 16 Our experiments in system-level models are implemented in a Matlab program on a Windows machine CPU with an Intel Core i5 processor, 3.2 GHz, and 16 GB RAM, and that of our proposed hardware architecture is implemented on XILINX FPGA, of which model is XCA100T.…”

Section: Experimental Results and Comparisonmentioning

confidence: 99%

“…Due to the lack of edge-preserving in Upadhyay and Sarawadekar 13 to further refine the transmittance, halos and artifacts appear locally. Tan et al 14 also have color distortion in the sky area, and the brightness of some object areas is dark after defogging. When the fog is not very large, Lee et al 16 will cause excessive fog removal, resulting in oversaturated colors.…”

Section: Experimental Results and Comparisonmentioning

confidence: 99%

“…8 Image processing based on FPGA is expected to meet the requirement of real time video defogging. [9][10][11][12][13][14][15][16] Liang et al designed a real-time hardware accelerator for single image defogging on FPGA. 10 It takes around 13.74 ms at 100 MHz when processing a 720 × 576 image, and the real-time performance is poor.…”

Section: Introductionmentioning

confidence: 99%

“…10 It takes around 13.74 ms at 100 MHz when processing a 720 × 576 image, and the real-time performance is poor. Kumar et al, 11 Liu et al, 12 Upadhyay et al, 13 and Tan et al 14 respectively proposed FPGA defogging architecture, which can be applied in Full HD (1920 × 1080) real time video defogging application. Kumar et al 11 presented a two stage image dehazing architecture, which is not fast enough in processing speed.…”

Section: Introductionmentioning

confidence: 99%

“…However, the sky region processed by the method are degraded by color distortion. Tan et al 14 proposed a mixed atmosphere prior information video dehazing accelerator, which cannot avoid the "halo" effect in images with complex structures. Sahu et al 15 proposed a dehazing method by cascading two models utilizing a novel parameter-adaptive dual-channel modified simplified pulse coupled neural network.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Adaptive wavelet transform defogging scheme for real-time video restoration with field programmable gate array implementation

Dong,

Wang,

Deng

et al. 2024

J. Electron. Imag.

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In the context of real-time video defogging, accurately estimating the transmittance of sky regions and deep fault regions remains a challenging task due to severe color distortion and halo effects. To address this issue, we propose an innovative adaptive wavelet transform defogging (AWTD) scheme aimed at precisely modifying the transmittance of the sky and deep fault regions. Additionally, we present a dedicated field programmable gate array defogging architecture capable of direct application for real-time synchronous defogging of Full HD (1920 × 1080) videos. Through extensive experiments and comparisons, we demonstrate the effectiveness and practicality of the proposed AWTD approach in mitigating color distortion, halo effects, and other fog-induced artifacts. The results show that the dehazing algorithm attains 60 frames per second for the image resolution of 1920 × 1080, which is suitable of real time applications.

show abstract

Section: Experimental Results and Comparisonmentioning

confidence: 99%

Section: Experimental Results and Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive wavelet transform defogging scheme for real-time video restoration with field programmable gate array implementation

Dong,

Wang,

Deng

et al. 2024

J. Electron. Imag.

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show abstract

A fast hardware accelerator for nighttime fog removal based on image fusion

Lv,

Du,

et al. 2024

Integration

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Efficient Framework for Real-Time Color Cast Correction and Dehazing Using Online Algorithms to Approximate Image Statistics

Bilal,

Masud,

Hanif

2024

IEEE Access

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Image dehazing is a crucial task in the early stages of real-time image processing pipelines used in applications such as surveillance and advance driver assistance systems. Dehazing algorithms mitigate the spatially selective degradation of image details caused by natural phenomenon such as fog and sandstorms. The problem is exacerbated in the presence of color cast which can affect the color-sensitive processing in the downstream tasks. In order to correct these two aberrations, we have proposed a lightweight algorithm which is not only quantitively more effective than the state-of-the-art works but also uses minimal computational resources. Specifically, it has been proposed to tackle both aforementioned problems by processing luminance and chrominance channels separately through a custom resource-efficient colorspace transform. Moreover, it has been proposed to employ online calculation of the relevant video stream statistics to estimate the degradation model over several temporally adjacent frames. This approach not only reduces the hardware resource utilization when implemented inside the video processing pipeline but also reduces the flicker effect observed when frames are processed individually. It has been demonstrated through quantitative analysis on standard datasets that the proposed approach either works at par or better than the reference works in terms of image quality metrics. Furthermore, the proposed framework has been developed as a real-time video processing system on an FPGA platform. The synthesis results of this implementation suggest that the proposed framework achieves this performance using minimal logic resources.

show abstract

MAPD: An FPGA-Based Real-Time Video Haze Removal Accelerator Using Mixed Atmosphere Prior

Cited by 5 publications

References 42 publications

Adaptive wavelet transform defogging scheme for real-time video restoration with field programmable gate array implementation

Adaptive wavelet transform defogging scheme for real-time video restoration with field programmable gate array implementation

A fast hardware accelerator for nighttime fog removal based on image fusion

Efficient Framework for Real-Time Color Cast Correction and Dehazing Using Online Algorithms to Approximate Image Statistics

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