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Multi-resolution compressive sensing image processing

A compressed sensing, multi-resolution technology, applied in image data processing, image enhancement, image analysis, etc., can solve problems such as a large number of computing resources and time

Inactive Publication Date: 2018-08-31
ALCATEL-LUCENT USA INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although compression after capturing a high-resolution N-pixel image is often useful, it is computationally resource-intensive and time-intensive

Method used

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  • Multi-resolution compressive sensing image processing
  • Multi-resolution compressive sensing image processing
  • Multi-resolution compressive sensing image processing

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Embodiment Construction

[0019] Various aspects of the present disclosure are described below with reference to the drawings, wherein like reference numerals refer to like elements throughout the description of the figures. The description and drawings merely illustrate the principles of the disclosure. It will be appreciated that those skilled in the art can devise various arrangements, although not explicitly described or shown herein, that embody these principles and are included within the spirit and scope of the present disclosure.

[0020] As used herein, the term "or" is non-exclusive unless stated otherwise (eg, "or other" or "or in the alternative"). Furthermore, as used herein, words used to describe a relationship between elements should be interpreted broadly as including a direct relationship or including the presence of intervening elements, unless otherwise stated. For example, when an element is referred to as being "connected" or "coupled" to another element, it can be directly conne...

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Abstract

Systems and methods are provided for constructing a multi-resolution image from a set of compressive measurements representing a compressed version of a single native resolution image. In one aspect,compressive sense measurements are retrieved that were generated using a compressive sensing matrix and represent a compressed version of a single native resolution image of a scene. Dimensions of a desired two-dimensional, multi-resolution image are determined, and a plurality of regions is allocated, each allocated region having a respective resolution. An expansion matrix is defined to map theresolution of each allocated region to the native resolution, and a multi-resolution image of the scene is constructed using the compressive sense measurements, the compressive sensing matrix, and thedefined expansion matrices. In various aspects, a full resolution or other multi-resolution images may be constructed from the same compressive measurements without regenerating new compressive measurements.

Description

technical field [0001] The present disclosure relates to systems and methods for compressive sense image processing. More specifically, the present disclosure relates to constructing multi-resolution images from compressed measurements representing single-resolution images. Background technique [0002] This section introduces aspects that may contribute to a better understanding of the systems and methods disclosed herein. Accordingly, the statements in this section should be read in this light and should not be read or interpreted as an endorsement of what is or is not included in the prior art. [0003] Digital image / video cameras acquire and process large amounts of raw data that are reduced using compression. In a conventional video camera, raw data representing each N-pixel image of the scene is first captured and then typically compressed using a suitable compression algorithm for storage and / or transmission. Although compression after capturing high-resolution N-p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50H03M7/30
CPCG06T5/50H03M7/3062G06T2207/20016G06T2207/20021G06T2207/20104H04N23/667H04N7/0117
Inventor A·冈萨雷斯H·蒋G·黄
Owner ALCATEL-LUCENT USA INC