http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Muhammad Sameer Sheikh (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Super-Resolution Image Reconstruction with Improved Sparse Representation
Muhammad Sameer Sheikh,Qunsheng Cao 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.12
In this paper, we present a new approach to reconstruct a high resolution (HR) image from a low resolution (LR) input image based on a two dimensional (2D) sparse method. The new method consists of three phases. Firstly, the nonlinear feature of the input LR image is divided into the linear subspace, and then LR-HR dictionaries are learned to reduce the blurred artifacts of the image. Secondly, 2D sparse representation and self-similarity are developed to strengthen and enhance the image structure. Finally, the final HR image is achieved by reconstruction of all HR patches. Simulation results demonstrated that our proposed method achieved superior results on real images, and shows various improvements in terms of PSNR and SSIM values as compared with some other competent methods.
-
High Resolution Image Reconstruction with Compressed Sensing based on Iterations
Muhammad Sameer Sheikh,Qumsheng Cao,Caiyun Wang,Muhammad Shafiq 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.12
This paper proposes a new method of efficient image reconstruction based on the Modified Frame Reconstruction Iterative Thresholding Algorithm (MFR ITA) developed under the compressed sensing (CS) domain by using total variation algorithm. The new framework is consisted of three phases. Firstly, the input images are processed by the multilook processing with their sparse coefficients using the Discrete Wavelet Transform (DWT) method. Secondly, the measurements are obtained from sparse coefficient by using the proposed fusion method to achieve the balance resolution of the pixels. Finally, the fast CS method based on the MFR ITA is proposed to reconstruct the high resolution image. The proposed method achieved superior results on real images, and demonstrate qualitative improvements in terms of PSNR and SSIM values. Furthermore, achieved good reconstruction SNR in the presence of noise.
-
A Collision Avoidance Model for On-Ramp Merging of Autonomous Vehicles
Muhammad Sameer Sheikh,Yinqiao Peng 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.3
Connected and autonomous vehicles (CAVs) have the ability to enhance traffic flow and road safety by significantly reducing human error. Although some collision risks may be eliminated in autonomous vehicles, other potential risks remain, especially at on-ramp merging areas. This paper proposes a collision avoidance model for on-ramp merging of autonomous vehicles under different scenarios. Simulation results suggest that the proposed method can reduce the risks of collision at on-ramp merging areas. Moreover, we assessed the effectiveness of the strategy in terms of traffic flow speed variations with different penetration rates of CAVs. Results show that the collision avoidance strategy leads to lower speed variations. This study reveals that the information obtained from the proposed collision avoidance model could be helpful for improving traffic safety and enhancing urban mobility.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
