VLSI Architecture of Saturation Based Image Dehazing Algorithm and its FPGA Implementation

Upadhyay, Bharat Bhushan; Yadav, Sunil Kumar; Sarawadekar, Kishor

doi:10.1109/mwscas54063.2022.9859535

Cited by 4 publications

(10 citation statements)

References 14 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%

“…But its performance deteriorates in images that contain sky. 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 .…”

Section: Experimental Results and Comparisonmentioning

confidence: 99%

“…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.…”

Section: Introductionmentioning

confidence: 99%

“…Image processing based on FPGA is expected to meet the requirement of real time video defogging 9 – 16 Liang et al. designed a real-time hardware accelerator for single image defogging on FPGA 10 .…”

Section: Introductionmentioning

confidence: 99%

“…proposed a large size single image computation acceleration bilateral filtering based defogging scheme. Upadhyay and Sarawadekar 13 introduced a dehazing method that can be easily implemented on a hardware platform, such as FPGA. However, the sky region processed by the method are degraded by color distortion.…”

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.

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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.

View full text Add to dashboard Cite

show abstract

FPGA Implementation of an Effective Image Enhancement Algorithm Based on a Novel Daubechies Wavelet Filter Bank

Islam,

Samantaray,

Gorre

et al. 2024

Circuits Syst Signal Process

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Enhance Dehazed Images Rapidly Without Losing Restoration Accuracy

Liu

2024

IEEE Access

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We proposed a novel image-enhancing framework to ensure consolidated restoration accuracy when remedying the visual quality of dehazed images, such as over-saturation, color deviation, or luminance issues. Conventionally, the dehazing process was usually considered image restoration; however, enhancement methods only aimed to improve dehazed images' contrast, brightness, and detail. Therefore, the conventional enhancing framework tended to degrade consolidated restoration accuracy due to focusing on low-level image features rather than controlling errors associated with the dehazing process. Our method aimed to improve the consolidated restoration accuracy of the dehazing-and-enhancing process. In experiments, the proposed framework improved the visual quality and preserved restoration accuracy (despite enhancements) with high computational efficiency and resolved quality issues generated by conventional dehazing algorithms. Moreover, the minimal time complexity of the proposed framework is O(n), ensuring practical applicability when implemented in conjunction with state-of-the-art dehazing algorithms.INDEX TERMS dehazing, haze, defogging, fog, haze removal, dark channel, image enhancement, error propagation, edge redundancy.

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VLSI Architecture of Saturation Based Image Dehazing Algorithm and its FPGA Implementation

Cited by 4 publications

References 14 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

FPGA Implementation of an Effective Image Enhancement Algorithm Based on a Novel Daubechies Wavelet Filter Bank

Enhance Dehazed Images Rapidly Without Losing Restoration Accuracy

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