Jiangxi University of Finance and Economics

About: Jiangxi University of Finance and Economics is a education organization based out in Nanchang, China. It is known for research contribution in the topics: Fuzzy logic & China. The organization has 2865 authors who have published 3556 publications receiving 41567 citations.

Multi-Frame Super-Resolution Reconstruction Based on Gradient Vector Flow Hybrid Field

Abstract: In this paper, we propose a novel multi-frame super-resolution (SR) method, which is developed by considering image enhancement and denoising into the SR processing. For image enhancement, a gradient vector flow hybrid field (GVFHF) algorithm, which is robust to noise is first designed to capture the image edges more accurately. Then, through replacing the gradient of anisotropic diffusion shock filter (ADSF) by GVFHF, a GVFHF-based ADSF (GVFHF-ADSF) model is proposed, which can effectively achieve image denoising and enhancement. In addition, a difference curvature-based spatial weight factor is defined in the GVFHF-ADSF model to obtain an adaptive weight between denoising and enhancement in the flat and edge regions. Finally, a GVFHF-ADSF-based multi-frame SR method is presented by employing the GVFHF-ADSF model as a regularization term and the steepest descent algorithm is adopted to solve the inverse SR problem. Experimental results and comparisons with existing methods demonstrate that the proposed GVFHF-ADSF-based SR algorithm can effectively suppress both Gaussian and salt-and-pepper noise, meanwhile enhance edges of the reconstructed image.

Benefits of environmental information disclosure in managing water pollution: evidence from a quasi-natural experiment in China.

Abstract: Environmental information disclosure (EID) is playing an increasingly important role in water pollution management. However, since EID is hard to measure and other endogeneity problems, it is difficult to capture the causal inference between the two. Using the difference-in-difference method, this paper takes advantage of the Pollution Source Regulatory Information Disclosure Index (PITI) program promulgated by China in 2008 as a quasi-natural experiment to empirically capture the net effect of EID on water pollution management and its impact mechanism. The results show that from the average treatment effects perspective, the PITI strongly promote water pollution management. However, the dynamic effects of PITI present a decreasing and weakening trend over time. Further mechanism analysis reveals that PITI improves water pollution management mainly through the technological innovation effect. Several robustness checks justify our findings. Heterogeneity analysis shows that the PITI has a greater positive impact on water pollution management in cities located in the southern areas and with high economic levels and with a larger population.