Linear interpolation is the standard image blending method used in image compositing. By averaging in the dynamic range, it reduces contrast and visibly degrades the quality of composite imagery. We demonstrate how to correct linear interpolation to resolve this longstanding problem. To provide visually meaningful, high level control over the compositing process, we introduce three novel image ...

In this paper we present a robust real-time optimization method for the online linear oil blending process. The blending process consists in determining the optimal mix of components so that the final product satisfies a set of specifications. We examine different sources of uncertainty inherent to the blending process and show how to address this uncertainty applying the Robust Optimization te...

Shape blending determines the in-between shapes that provide the gradual transformation of one shape into another. It is usually considered a two-step problem: the correspondence problem and the interpolation problem. This paper presents a solution to the interpolation of transforming one triangular mesh model into another triangular mesh based on their intrinsic definitions. Rather than consid...

OBJECTIVE To determine whether non-linear blending technique for arterial-phase dual-energy abdominal CT angiography (CTA) could improve image quality compared to the linear blending technique and conventional 120 kVp imaging. MATERIALS AND METHODS This study included 118 patients who had accepted dual-energy abdominal CTA in the arterial phase. They were assigned to Sn140/80 kVp protocol (pr...

Blending attacks are a general class of traffic-based attacks, exemplified by the (n − 1)-attack. Adding memory or pools to mixes mitigates against such attacks, however there are few known quantitative results concerning the effect of pools on blending attacks. In this paper we give a precise analysis of the number of rounds required to perform a blending attack for the pool mix, timed pool mi...

BACKGROUND Olive oils (OOs) show high chemical variability due to several factors of genetic, environmental and anthropic types. Genetic and environmental factors are responsible for natural compositions and polymorphic diversification resulting in different varietal patterns and phenotypes. Anthropic factors, however, are at the origin of different blends' preparation leading to normative, lab...

Nowadays, the acquisition of innovative approaches and techniques that use Internet is one main goals for development higher medical education in Ukraine. Blending learning an effective way to gain knowledge medicine such kind carried out through educational programs curriculum was approved each department by scientific council university. This paper describes effectiveness blending preparation...

Various blending functions can be applied in the volumetric modelling of clouds. This paper analyzes the impact of five different blending functions (linear, cubic, Wyvill-1, Wyvill-2, and cosine) on cloud shape, structure, and area. We have found that there are only negligible differences among them. Therefore, we can conclude that the simple linear blending function satisfies all the desired ...

Self-organization systems are an increasingly attractive dynamic processes without a central control, emerge global order from local interactions in a bottom up approach. The advantage of blending the concept of self-organization enhances the working efficiency of other techniques to find a solution of huge search problem. Genetic Algorithms (GA) is such a technique, inspired by the natural evo...

This paper presents a novel MILP formulation that addresses the simultaneous optimization of the short-term scheduling and blending problem in oil-refinery applications. Depending on the problem characteristics as well as the required flexibility in the solution, the model can be based on either a discrete or a continuous-time domain representation. In order to preserve the model’s linearity, a...