Blending for wide dynamic range image using different exposure image
We propose an algorithm which blends two different exposure time images to get WDR image. Previous WDR algorithm method is used for the low — luminance single image. In this paper, blending method is applied to two input images with different transfer function in previous WDR algorithm, and WDR algorithm method is applied. As a confirmation method, we used sigma value which is used as a numerical value of image quality. The sigma value indicates the saturation degree of the WDR image or the number of zero value pixels. Simulation result has shown that our algorithm outperformed previous method in terms of image visual quality.
Abstract This study contributes to the literature on socially responsible investing by examining the diversification potential of commodities, specifically oil, gold and clean energy together with the Brazilian Corporate Sustainability Index (ISE). Multivariate GARCH models are used to model volatility spillovers and conditional correlation in pairs of stocks containing ISE. Specifically, A-BEKK and A-DCC models with spillovers are estimated. The models’ results are used to compute and analyze the optimal weights and hedge ratios for stock portfolio holdings. The greatest benefit from diversification is obtained through the acquisition of gold and then OVX.