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专利名称: 一种兴趣区域优先的多尺度压缩感知渐进编码方法
其他题名: Multiscale compressed sensing progressive coding method of ROI (Region of Interest)
作者: 赵怀慈; 杜梅; 赵春阳
所属部门: 光电信息技术研究室
专利权人: 中国科学院沈阳自动化研究所
专利代理: 沈阳科苑专利商标代理有限公司 21002
专利国别: 中国
专利类型: 发明
专利状态: 实审
摘要: 本发明涉及一种兴趣区域优先的多尺度压缩感知渐进编码方法,包括以下步骤:对原始图像进行ROI检测;将检测出的ROI、过渡带、背景分别进行WBCT分解并进行多尺度压缩感知测量,然后将所得的各测量值进行ROI优先编码;如果未检测出ROI,则对原始图像进行WBCT分解并进行多尺度压缩感知测量,然后进行渐进编码。本发明采用多尺度压缩感知技术进行图像压缩,便于实现图像渐进编码;采用压缩感知测量还使得本方法具有优秀的抗干扰特性;相同压缩比下,多尺度压缩感知相对于压缩感知能够更多地保留图像纹理、边缘等信息。
英文摘要: The invention relates to a multiscale compressed sensing progressive coding method of an ROI. The method comprises the steps that ROI detection is carried out on an original image; WBCT decomposition is carried out a detected ROI, a transitional zone and a background, multiscale compressed sensing measurement is carried out on the detected ROI, the transitional zone and the background, and ROI advance coding is carried out on the measured values; and if the ROI is not discovered, WBCT decomposition and multiscale compressed sensing measurement are carried out on the original image, and progressive coding is then carried out. According to the method, the image is compressed in the multiscale compressed sensing technology, so that progressive coding of the image is realized; the method is excellent in anti-interference performance due to compressed sensing measurement; and compared with compressed sensing, multiscale compressed sensing can maintain more information including image texture and edges under the same compression ratio.
是否PCT专利:
申请日期: 2013-12-27
公开日期: 2015-07-01
专利申请号: CN201310737682.X
公布/公告号: CN104751495A
语种: 中文
产权排序: 1
内容类型: 专利
URI标识: http://ir.sia.cn/handle/173321/17023
Appears in Collections:光电信息技术研究室_专利

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Recommended Citation:
赵怀慈,杜梅,赵春阳. 一种兴趣区域优先的多尺度压缩感知渐进编码方法. CN104751495A. 2015.
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