Demonstration of light reflection concepts for rendering realistic 3D tree images

With advancements in computer graphics, creating natural images has always been the main purpose, image rendering is all based on principles of physics. So, understanding the physics of image rendering will enable us to create the most realistic images. A ray of light hit a surface with different orientation and reflects as per the rules of physics. It is difficult to calculate the light reflection of complex foliage, such as trees, so, the reflection of this natural complexity needs to be adapted to rendering situations. In this research, the researchers provide demonstrations to enable students to understand the light reflection in nature, light calculation in computer graphics and methods to apply them to render realistic tree images. The researchers assign students to render 3D realistic tree images to assess the students’ understanding by applying the diffuse reflection value, specular reflection value and surface normal direction to render realistic tree images. The researchers find that most students understand of diffuse reflection, specular reflection, and surface normal direction causes the rendering results to be most realistic.

CONDITIONAL GANS AS A SOLUTION TO IMAGE-TO-IMAGE RENDERING PROBLEMS

In many existing solutions of image-to-image rendering problems, the only focus is to find the closest output of the Generative Adversarial Network (GAN). In this research article, authors propose a generative adversarial network, a solution to pixel-to-pixel rendering problems and reduced the loss function to the maximum under all interactions. For achieving the best result, we have considered the mean square loss function in the generator and binary cross for the discriminator. Our proposed model deals with not only images but also read sketches where the edges are not sharp too. We have used a facade dataset to test our proposed model.

Black-and-White Sensations of History and Female Identity in Contemporary Polish and Czech Cinema

This chapter addresses the aesthetic of black-and-white filmmaking in the digital age, with special attention to the ways in which the black-and-white image manifests its perceptual otherness in between the analogue and the digital, the natural and the artificial, the cinematic and the photographic. Through examples taken from contemporary Polish and Czech cinema, including Hi, Tereska! (Cześć, Tereska, Robert Gliński, 2001), The Reverse (Rewers, Borys Lankosz, 2009), Ida (Paweł Pawlikowski, 2013), Papusza (Joanna Kos-Krauze and Krzysztof Krauze, 2013), Cold War (Zimna wojna, Paweł Pawlikowski, 2018) and I, Olga Hepnarová (Já, Olga Hepnarová, Tomáš Weinreb and Petr Kazda, 2016), it discusses the uses and functions of the black-and-white image rendering female identity caught in the grip of Eastern European history. The black-and-white image is often associated with high artistry and the photographic quality of film; accordingly, the emphasis is laid on photographic compositions, static shots, long takes and tableau moments, which confer on the digital monochrome subtle sensations of intermediality.

Detection and Removal of Noisy Land Magnetic Data Spikes

<p>Detection of land magnetic data spikes is an important issue in magnetic data processing. In addition, the presence of noisy contributions such as spikes, stripes and zigzag effects in magnetic data visualization represents the most common flaw that may degrade the image. Rendering the correct detection and identification of features very uncertain. In this study, a script called "Window_Despike" was written to mark the spike data points and give the index of each spike point. Spikes were replaced by linearly interpolating the adjacent "good" amplitudes, or replaced by Not a Number (NaN). Different windows size starting from window size of 3 till 9 compared and found that the best window size is 5.</p>