RESUMO
Multi-focal plane and multi-layered light-field displays are promising solutions for addressing all visual cues observed in the real world. Unfortunately, these devices usually require expensive optimizations to compute a suitable decomposition of the input light field or focal stack to drive individual display layers. Although these methods provide near-correct image reconstruction, a significant computational cost prevents real-time applications. A simple alternative is a linear blending strategy which decomposes a single 2D image using depth information. This method provides real-time performance, but it generates inaccurate results at occlusion boundaries and on glossy surfaces. This paper proposes a perception-based hybrid decomposition technique which combines the advantages of the above strategies and achieves both real-time performance and high-fidelity results. The fundamental idea is to apply expensive optimizations only in regions where it is perceptually superior, e.g., depth discontinuities at the fovea, and fall back to less costly linear blending otherwise. We present a complete, perception-informed analysis and model that locally determine which of the two strategies should be applied. The prediction is later utilized by our new synthesis method which performs the image decomposition. The results are analyzed and validated in user experiments on a custom multi-plane display.
RESUMO
In the present study, the leachability of traced elements from the bottom ash of three different Indian power plants was investigated. Environmental impact of bottom ash was studied by varying the liquid-to-solid (L/S) ratio from 20:1 to 60:1. Leaching results show the presence of a major proportion of elements Mn, Mg, Cr, Zn and Cu and a minor proportion of Pb, Fe, Co, and Mo. The effect of the addition of sodium bicarbonate (NaHCO3) on leaching characteristics of bottom ash was also studied. Leaching concentration of bottom ash samples reduces with addition of additive from 0.2% to 0.6% and found to be optimum with 0.4% the addition of additive. This aspect of the investigation helps to design the ash disposal system for higher solid concentrations to minimize the environmental pollution.