Understanding Kernel Size in Blind Deconvolution

Most blind deconvolution methods usually pre-define a large kernel size to guarantee the support domain. Blur kernel estimation error is likely to be introduced, yielding severe artifacts in deblurring results. In this paper, we first theoretically and experimentally analyze the mechanism to estimation error in oversized kernel, and show that it holds even on blurry images without noises. Then to suppress this adverse effect, we propose a low rank-based regularization on blur kernel to exploit the structural information in degraded kernels, by which larger-kernel effect can be effectively suppressed. And we propose an efficient optimization algorithm to solve it. Experimental results on benchmark datasets show that the proposed method is comparable with the state-of-the-arts by accordingly setting proper kernel size, and performs much better in handling larger-size kernels quantitatively and qualitatively. The deblurring results on real-world blurry images further validate the effectiveness of the proposed method.Comment: Accepted by WACV 201

Research on the Relationship between Intellectual Capital and Corporate Value: Based on Life Cycle Theory

The results from subgroup regression analysis of the high-tech listed companies show that intellectual capital not only has a significant influence on corporate value creation, but also has a significant influence on the perception and evaluation to companies’ market value by capital market. Company’s life cycle indeed has significant effects on the relations between intellectual capital and corporate value. In different stage of life cycle, intellectual capital plays different roles in value creation and realization. The overall IC plays the most important role in the maturing stage of companies. While in the growth stage, human capital and innovation capital are the main elements of value creation and they both significantly enhance corporate value. In the stagnant stage, human capital becomes the main factor to enhance corporate value. Therefore, basing on specific stage of companies life cycle managers should make appropriate strategies to invest and manage Intellectual capital to maintain competitive advantage in the complex and competitive environment

Intellectual Capital, Slack Resources and Corporate Value: Empirical Analysis of a Moderating Effect Model

This paper choose Chinese high-tech listed companies as the samples to testify the slack resources’ moderating role between intellectual capital and corporate value. The results based on hierarchical moderating regression (HMR) show that intellectual capital of high-tech listed companies not only has a significant influence on corporate value creation, but also has a significant impact on the perception and evaluation to corporate market value by capital market in China. Slack resources indeed have a significant moderating effect between intellectual capital and corporate value. It can significantly moderate the relationship between human capital, innovation capital and customer capital and corporate value. That is to say, slack resources not only can promote the elements of intellectual capital to create more value, but also improve value realization of intellectual capital on capital market. The more slack resources the firms have, the more significant and stronger of intellectual capital affecting enterprises value