Research of Aviation Image Multiplication Based on the Fractal Interpolation Algorithm

2010 ◽  
Vol 44-47 ◽  
pp. 3225-3229
Author(s):  
Qiu Shui Yu ◽  
Zhi Yong An ◽  
Tong Pan ◽  
Yu Han Gao
Keyword(s):  
Texture Features ◽  
Linear Interpolation ◽  
Aerial Images ◽  
Fractal Interpolation ◽  
Interpolation Algorithm ◽  
Traditional Methods ◽  
Considerable Error

The resolution of aerial images was low, because the aviation aerospace camera was far from the scenery when shooting. In order to see the object of the aviation images clearly,the aviation images should be enlarged to improve the resolution . As the complexity and irregularity of the aerial images, the texture features is lost and considerable error is caused by using the traditional methods. In this article, the fractal interpolation has been used to enlarge the images, which can not only overcome the shortcoming of the linear interpolation, but also maintain the fine texture features of the original images, which is helpful to obtain higher accuracy than the traditional interpolation.

Research and Realization of a New Curve Grinding Method

2009 ◽  
Vol 16-19 ◽  
pp. 1305-1309
Author(s):  
Tian Zhong Sui ◽  
Lei Wang ◽  
Wen Bo Zhang ◽  
Di Sun
Keyword(s):  
Contact Zone ◽  
Contact Point ◽  
Linear Interpolation ◽  
Grinding Wheel ◽  
Central Plane ◽  
Interpolation Algorithm ◽  
Contact Points ◽  
Grinding Method ◽  
The Given ◽  
Nc Grinding

The curve NC grinding methods in presnet are analyzed. On the basis of this, a new curve NC grinding method―region contact grinding (RCG) method is proposed. With this method, the contact point between grinding wheel and workpiece can be controlled in the given contact zone. The problom of grinding wheel's distortion which is produced by contact point excessively deviating from symmetrical central plane of grinding wheel can be overcome. In order to the grinding mode, a new interpolation algorithm―region equiangular linear interpolation (RELI) is proposed. Namely, in terms of the convex-concave property of processing curve, some grinding regions are divided. In each grinding region, the grinding wheel's swing angle within each interpolation cycle is evenly distributed. Thereby, in the process of grinding a convex-concave curve, grinding wheel's contact points totally locate in the range of contact zone angle.

Research on Interpolation Algorithm for DSSS Signal Receiver

2013 ◽  
Vol 313-314 ◽  
pp. 1279-1284
Author(s):  
Zhi Qun Yang
Keyword(s):  
Spread Spectrum ◽  
Test Performance ◽  
Optimal Algorithm ◽  
Linear Interpolation ◽  
Direct Sequence Spread Spectrum ◽  
Signal Acquisition ◽  
Interpolation Algorithm ◽  
Effective Technique ◽  
Parallel Acquisition ◽  
Data Points

For Direct Sequence Spread Spectrum (DSSS) receiver, a parallel acquisition algorithm based on FFT-IFFT is proposed to improve speed of the DSSS signal acquisition. In order to ensure the FFT data points is equal to a power of 2(2N), Interpolation Algorithm is always used. In this paper, three interpolation algorithms are introduced in detail, and they are analyzed theoretically and compared by quantitative simulation, the resources occupied and test performance verification. We draw the conclusion that the linear interpolation is the optimal algorithm which offers the effective technique for the implementation of DSSS signal receiver.

Spatial Distance-based Interpolation Algorithm for Computer Generated 2D+Z Images

2020 ◽  
Vol 2020 (2) ◽  
pp. 140-1-140-6
Author(s):  
Yuzhong Jiao ◽  
Kayton Wai Keung Cheung ◽  
Mark Ping Chan Mok ◽  
Yiu Kei Li
Keyword(s):  
Depth Map ◽  
Linear Interpolation ◽  
Spatial Distance ◽  
Depth Image ◽  
Interpolation Algorithm ◽  
3D Display ◽  
Common Input ◽  
Depth Maps ◽  
High Resolution Images ◽  
Rgb Images

Computer generated 2D plus Depth (2D+Z) images are common input data for 3D display with depth image-based rendering (DIBR) technique. Due to their simplicity, linear interpolation methods are usually used to convert low-resolution images into high-resolution images for not only depth maps but also 2D RGB images. However linear methods suffer from zigzag artifacts in both depth map and RGB images, which severely affects the 3D visual experience. In this paper, spatial distance-based interpolation algorithm for computer generated 2D+Z images is proposed. The method interpolates RGB images with the help of depth and edge information from depth maps. Spatial distance from interpolated pixel to surrounding available pixels is utilized to obtain the weight factors of surrounding pixels. Experiment results show that such spatial distance-based interpolation can achieve sharp edges and less artifacts for 2D RGB images. Naturally, it can improve the performance of 3D display. Since bilinear interpolation is used in homogenous areas, the proposed algorithm keeps low computational complexity.

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