2024年5月1日发(作者：但玉轩)
基于FOCUSS的图像分块压缩感知
陈俊娟;马社祥;孟鑫
【期刊名称】《天津理工大学学报》
【年(卷),期】2011(027)005
【摘 要】为了解决图像重建计算复杂度大的问题,有人提出了分块压缩感知( Block
Compressed Sensing),但基于正交匹配追踪(OMP)的图像分块重建会产生明显的
块效应.针对这一问题,本文提出了基于欠定系统局灶解法(FocalUnderdetermined
System Solution,简称FOCUSS)的图像分块重建,算法首先对图像进行分块,然后用
傅里叶变换把图像稀疏化,再用FOCUSS重建分块图像.仿真实验结果表明,基于
FOCUSS的图像分块重建不仅降低了图像块效应,而且提高了重建图像质量.%In
order to solve the problem of the computational complexity of image
reconstruction, block compressed sensing method has been proposed.
However, this method might generate a weakness that the image
reconstructed by using orthogonal matching pursuit ( OMP) has obvious
block effect. In order to weaken the block effect, this paper has proposed
an image reconstruction algorithm based on Focal Underdetermined
System Solution ( abbreviation FOCUSS). Firstly, the image should be
divided into a few blocks. Then we can use Fourier transform to make the
image sparse. Finally, original image can be reconstructed by using
FOCCUS. The simulation results illustrate that the image block
reconstruction based on FOCUSS has greatly reduced the block effect and
improved the quality of reconstructed image.
【总页数】5页(P79-83)
【作 者】陈俊娟;马社祥;孟鑫
【作者单位】天津理工大学计算机与通信工程学院,天津300384;天津理工大学计
算机与通信工程学院,天津300384;天津理工大学计算机与通信工程学院,天津
300384
【正文语种】中 文
【中图分类】TN911.73
【相关文献】
1.基于DFT基的矿井视频监控图像分块压缩感知方法∗ [J], 张帆;闫秀秀
2.基于纹理自适应全变分滤波的图像分块压缩感知优化算法 [J], 王玥;周城;熊承义;
舒振宇
3.基于DWT的图像分块压缩感知重构算法 [J], 邓波;徐庆;崔金鸽;李必云
4.基于压缩感知和图像分块的遮挡人脸识别 [J], 张近;夏凌;李光瑞
5.基于多尺度的自适应采样图像分块压缩感知算法∗ [J], 殷长涛;志强;胡骏飞
因版权原因，仅展示原文概要，查看原文内容请购买
2024年5月1日发(作者：但玉轩)
基于FOCUSS的图像分块压缩感知
陈俊娟;马社祥;孟鑫
【期刊名称】《天津理工大学学报》
【年(卷),期】2011(027)005
【摘 要】为了解决图像重建计算复杂度大的问题,有人提出了分块压缩感知( Block
Compressed Sensing),但基于正交匹配追踪(OMP)的图像分块重建会产生明显的
块效应.针对这一问题,本文提出了基于欠定系统局灶解法(FocalUnderdetermined
System Solution,简称FOCUSS)的图像分块重建,算法首先对图像进行分块,然后用
傅里叶变换把图像稀疏化,再用FOCUSS重建分块图像.仿真实验结果表明,基于
FOCUSS的图像分块重建不仅降低了图像块效应,而且提高了重建图像质量.%In
order to solve the problem of the computational complexity of image
reconstruction, block compressed sensing method has been proposed.
However, this method might generate a weakness that the image
reconstructed by using orthogonal matching pursuit ( OMP) has obvious
block effect. In order to weaken the block effect, this paper has proposed
an image reconstruction algorithm based on Focal Underdetermined
System Solution ( abbreviation FOCUSS). Firstly, the image should be
divided into a few blocks. Then we can use Fourier transform to make the
image sparse. Finally, original image can be reconstructed by using
FOCCUS. The simulation results illustrate that the image block
reconstruction based on FOCUSS has greatly reduced the block effect and
improved the quality of reconstructed image.
【总页数】5页(P79-83)
【作 者】陈俊娟;马社祥;孟鑫
【作者单位】天津理工大学计算机与通信工程学院,天津300384;天津理工大学计
算机与通信工程学院,天津300384;天津理工大学计算机与通信工程学院,天津
300384
【正文语种】中 文
【中图分类】TN911.73
【相关文献】
1.基于DFT基的矿井视频监控图像分块压缩感知方法∗ [J], 张帆;闫秀秀
2.基于纹理自适应全变分滤波的图像分块压缩感知优化算法 [J], 王玥;周城;熊承义;
舒振宇
3.基于DWT的图像分块压缩感知重构算法 [J], 邓波;徐庆;崔金鸽;李必云
4.基于压缩感知和图像分块的遮挡人脸识别 [J], 张近;夏凌;李光瑞
5.基于多尺度的自适应采样图像分块压缩感知算法∗ [J], 殷长涛;志强;胡骏飞
因版权原因，仅展示原文概要，查看原文内容请购买