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RISS 인기검색어
- 검색키워드
- 저자 : ( Qiming Fu ) (검색결과 4 건)
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Implementation of 2-D Biorthogonal Wavelet Transform Using 2-D APDF
Qiming Fu,Xiao Zhou,Chengyou Wang,Baochen Jiang 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.5
All phase digital filter (APDF) is a new type of linear phase FIR digital filter which was proposed in recent years, and a general method to design 2-D FIR digital filters called 2-D APDF is presented in this paper. Firstly, the theory of biorthogonal wavelet transform and 2-D APDF is expounded. Secondly, a novel algorithm is proposed to implement biorthogonal wavelet transform by using 2-D APDF based on DFT and IDCT. The relations between two kinds of filters are discussed. As an important application of biorthogonal wavelet transform, multi-resolution analysis of 2-D image signal could be used to test the feasibility and applicability of the proposed algorithm. Finally, the test image can be reconstructed perfectly in the multi-resolution analysis of 2-D image experiment using MATLAB tool in this paper, and the analysis indicates that the proposed method performs well.
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Implementation of Biorthogonal Wavelet Transform Using Windowed APDF Based on DCT
Xiao Zhou,Qiming Fu,Fanfan Yang,Chengyou Wang 보안공학연구지원센터(IJSIP) 2014 International Journal of Signal Processing, Image Vol.7 No.6
All phase digital filter (APDF) is a new type of linear phase FIR digital filter that was proposed in recent years. Firstly, the theory of biorthogonal wavelet transform and windowed APDF based on DCT is expounded and the relationship between them is discussed. Secondly, a novel algorithm is proposed to implement biorthogonal wavelet transform by using windowed APDF based on DCT. As an important application of biorthogonal wavelet transform, multi-resolution analysis of 2-D image signal could be used to test the feasibility and applicability of the proposed algorithm. Finally, the simulation results using MATLAB tool are shown in this paper and the analysis indicates that the proposed method performs well.
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Centrifugal Model Test on the Failure Mechanism of Barrier Dam Overtopping
Tianlong Zhao,Shengshui Chen,Changjing Fu,Qiming Zhong 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.4
In order to study the failure mechanism of barrier dam overtopping, centrifugal model tests of dam failure were conducted in this research. A calculation method of rectangular weir flow in the centrifugal field was derived. The process and mechanism of barrier dam overtopping were intensively analyzed. They were further verified by the breach flow curve and the development curve of the breach top width acquired from model tests. Results showed that the barrier dam breach developed during the entire process of overtopping in the width direction. The development of the barrier dam breach in the depth direction, however, ceased at an earlier time on account of the large particles accumulated in the downstream slope. Moreover, coarsening in the downstream slope could be clearly observed in the last stage of overtopping. Thus, it was concluded that the bottom part of the barrier dam could survive after dam breaching and that a full dam failure is relatively rare for a barrier dam. Furthermore, the size of the remaining breach would be less than that of a homogeneous earth dam under the same conditions.
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Single Image Dehazing Using Dark Channel Prior and Minimal Atmospheric Veil
( Xiao Zhou ),( Chengyou Wang ),( Liping Wang ),( Nan Wang ),( Qiming Fu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.1
Haze or fog is a common natural phenomenon. In foggy weather, the captured pictures are difficult to be applied to computer vision system, such as road traffic detection, target tracking, etc. Therefore, the image dehazing technique has become a hotspot in the field of image processing. This paper presents an overview of the existing achievements on the image dehazing technique. The intent of this paper is not to review all the relevant works that have appeared in the literature, but rather to focus on two main works, that is, image dehazing scheme based on atmospheric veil and image dehazing scheme based on dark channel prior. After the overview and a comparative study, we propose an improved image dehazing method, which is based on two image dehazing schemes mentioned above. Our image dehazing method can obtain the fog-free images by proposing a more desirable atmospheric veil and estimating atmospheric light more accurately. In addition, we adjust the transmission of the sky regions and conduct tone mapping for the obtained images. Compared with other state of the art algorithms, experiment results show that images recovered by our algorithm are clearer and more natural, especially at distant scene and places where scene depth jumps abruptly.
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