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Systems and methods for image enhancement in multiple dimensions

A system-enhancing, multi-dimensional technology used in character and pattern recognition, instruments, computer components, etc.

Inactive Publication Date: 2006-02-08
DIGIVISION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Unfortunately, the processing overhead required to perform large kernel convolutions in real time with conventional techniques is prohibitive in the current state of digital signal processing

Method used

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  • Systems and methods for image enhancement in multiple dimensions
  • Systems and methods for image enhancement in multiple dimensions
  • Systems and methods for image enhancement in multiple dimensions

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Embodiment Construction

[0031] The systems and methods described below are generally described in connection with a two-dimensional video image system; however, it should be understood that the described systems and methods are not limited to applications involving video image systems or image processing systems involving only two dimensions. For example, the filtering techniques described herein can also be used in data storage and data compression schemes.

[0032] figure 1 is a diagram depicting a typical video image display 100 . The image is made up of a plurality of pixels arranged in rows 102 and columns 104 . In most conventional video imaging systems such as rasterization, these pixels are scanned in both horizontal and vertical dimensions.

[0033] It is often difficult to provide meaningful video image enhancement in a conventional system. Real-time correction or enhancement techniques do exist, but many such conventional techniques use a global approach. In other words, all points of ...

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Abstract

A multi-dimensional data enhancement system uses large kernel filtering, decimation, and interpolation, in multi-dimensions to enhance the multi-dimensional data in real-time. The multi-dimensional data enhancement system is capable of performing large kernel processing in real-time because the required processing overhead is significantly reduced. The reduction in processing overhead is achieved through the use of substantial low pass filtering and decimation that significantly reduces the amount of data that needs to be processed in order to generate an un-sharp mask comprising only very low spatial frequencies (9), that can be used to further process the data in a more natural way than is normally achieved with conventional edge sharpening.

Description

[0001] Related application information [0002] This application claims U.S. Provisional Patent Application 60 / 424,472, filed November 11, 2002, entitled "Multi-Dimensional Filtering, Decimation, and Processing of dataSets and Images" and filed November 11, 2002, entitled " Large Kernel Processing of Pixels Near Edges of DataFrames With Additional Artificial Border Data by Processing the Border Data at a Higher Rate" U.S. Provisional Patent Application 60 / 424,473 has priority under 35 USC § 119, both of which are included here in full. technical field [0003] The present invention relates to multidimensional image processing, and more particularly to enhancement of image data. Background technique [0004] Imaging systems play a variety of important roles in many different applications. For example, medical imaging applications such as endoscopy, fluoroscopy, X-ray, arthroscopy and microsurgery applications are helping to save lives and improve health. Industrial applicat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/36
Inventor 理查德·G.·赫尔特伦斯·J.·科尔曼
Owner DIGIVISION