Integer Wavelet-Based Image Interpolation in Lifting Structure for Image Resolution Enhancement  

Integer Wavelet-Based Image Interpolation in Lifting Structure for Image Resolution Enhancement

在线阅读下载全文

作  者:Chin-Yu Chen Shu-Mei Guo Ching-Hsuan Tsai Jason Sheng-Hong Tsai 

机构地区:[1]Department of Radiology, Chi-Mei Medical Center, Taiwan [2]Department of Computer Science and Information Engineering, National Cheng-Kung University, Taiwan [3]Department of Electrical Engineering, National Cheng-Kung University, Taiwan

出  处:《Applied Mathematics》2018年第10期1156-1178,共23页应用数学(英文)

摘  要:A floating-point wavelet-based and an integer wavelet-based image interpolations in lifting structures and polynomial curve fitting for image resolution enhancement are proposed in this paper. The proposed prediction methods estimate high-frequency wavelet coefficients of the original image based on the available low-frequency wavelet coefficients, so that the original image can be reconstructed by using the proposed prediction method. To further improve the reconstruction performance, we use polynomial curve fitting to build relationships between actual high-frequency wavelet coefficients and estimated high-frequency wavelet coefficients. Results of the proposed prediction algorithm for different wavelet transforms are compared to show the proposed prediction algorithm outperforms other methods.A floating-point wavelet-based and an integer wavelet-based image interpolations in lifting structures and polynomial curve fitting for image resolution enhancement are proposed in this paper. The proposed prediction methods estimate high-frequency wavelet coefficients of the original image based on the available low-frequency wavelet coefficients, so that the original image can be reconstructed by using the proposed prediction method. To further improve the reconstruction performance, we use polynomial curve fitting to build relationships between actual high-frequency wavelet coefficients and estimated high-frequency wavelet coefficients. Results of the proposed prediction algorithm for different wavelet transforms are compared to show the proposed prediction algorithm outperforms other methods.

关 键 词:IMAGE Compression IMAGE Interpolation WAVELET TRANSFORM INTEGER WAVELET TRANSFORM POLYNOMIAL Curve Fitting 

分 类 号:TP39[自动化与计算机技术—计算机应用技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象