Decomposing Images into Layers with Advanced Color Blending

2018 ◽  
Vol 37 (7) ◽  
pp. 397-407 ◽  
Author(s):  
Yuki Koyama ◽  
Masataka Goto
Keyword(s):  
Color Blending

Delineation of geological elements from RGB color blending of seismic attribute volumes

2008 ◽  
Vol 27 (3) ◽  
pp. 342-350 ◽  
Author(s):  
Jonathan Henderson ◽  
Stephen J. Purves ◽  
Gaynor Fisher ◽  
Chris Leppard
Keyword(s):  
Seismic Attribute ◽  
Color Blending

Hue-Preserving Color Blending

2009 ◽  
Vol 15 (6) ◽  
pp. 1275-1282 ◽  
Author(s):  
J. Chuang ◽  
D. Weiskopf ◽  
T. Moller
Keyword(s):  
Color Blending

Computer-generated holographic diffuser for color-blending considering divergent sources

1998 ◽  
Author(s):  
Weichung Chao ◽  
Sien Chi ◽  
Ching-Yi Wu ◽  
Chung Jung Kuo
Keyword(s):  
Holographic Diffuser ◽  
Color Blending

scholarly journals Dual-color blending based visual LAMP for food allergen detection: a strategy with enlarged color variation range and contrast

2021 ◽  
pp. 100201
Author(s):  
Fang Zhang ◽  
Chenshan Gao ◽  
Linlin Bai ◽  
Yiquan Chen ◽  
Shuying Liang ◽  
...  
Keyword(s):  
Food Allergen ◽  
Color Variation ◽  
Dual Color ◽  
Allergen Detection ◽  
Variation Range ◽  
Color Blending

scholarly journals Subsurface Geobody Imaging Using CMY Color Blending with Seismic Attributes

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Jianhua Cao ◽  
Xiankun Zhang ◽  
Yan Wang ◽  
Qi Zhao
Keyword(s):  
Three Dimensional ◽  
Seismic Attributes ◽  
Petroleum Engineering ◽  
Color Model ◽  
Color Channel ◽  
Primary Color ◽  
The Enlightenment ◽  
Geological Information ◽  
The Hilbert Transform ◽  
Color Blending

Recently, ideas of color blending have brought the enlightenment for subsurface geobody imaging in petroleum engineering. In this paper, we present this approach of CMY color blending and its application in subsurface geobody characterization by using seismic attributes data. The first step is to calculate three types of seismic attributes based on the Hilbert transform algorithm, including envelop, instantaneous phase, and instantaneous frequency. Then scale the three attributes and combine them together using CMY color model in three-dimensional environment, with each attribute corresponding to one primary color channel. Adjust the scale and offset for each color component and then mix them optimally to create one color-blended volume. The blended volume in CMY mode has plenty of geological information coming from the three input attributes, resulting in high resolution and accurate image for subsurface geobodies. Applications show good performances in buried channels, caves, and faults imaging. Based on the blended slice, the geological targets can be easily but accurately interpreted and depicted.

scholarly journals High-performance adaptive texture streaming and rendering of large 3D cities

2021 ◽  
Author(s):  
Alex Zhang ◽  
Kan Chen ◽  
Henry Johan ◽  
Marius Erdt
Keyword(s):  
Real Time ◽  
High Performance ◽  
Frame Rate ◽  
Game Engine ◽  
Memory Binding ◽  
Color Blending

AbstractWe propose a high-performance texture streaming system for real-time rendering of large 3D cities with millions of textures. Our main contribution is a texture streaming system that automatically adjusts the streaming workload at runtime based on measured frame latencies, specifically addressing the high memory binding costs of hardware virtual texturing which causes frame rate stuttering. Our system streams textures in parallel with prioritization based on GPU computed mesh perceptibility, and these textures are cached in a sparse partially resident image at runtime without the need for a texture preprocessing step. In addition, we improve rendering quality by minimizing texture pop-in artifacts using a color blending scheme based on mipmap levels. We evaluate our texture streaming system using three structurally distinct datasets with many textures and compared it to a baseline, a game engine, and our prior method. Results show an 8X improvement in rendering performance and 7X improvement in rendering quality compared to the baseline.

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