Invention Grant
US08150202B2 Gaussian mixture model based illumination normalization for global enhancement
有权
基于高斯混合模型的照明归一化进行全局增强
- Patent Title: Gaussian mixture model based illumination normalization for global enhancement
- Patent Title (中): 基于高斯混合模型的照明归一化进行全局增强
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Application No.: US12164868Application Date: 2008-06-30
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Publication No.: US08150202B2Publication Date: 2012-04-03
- Inventor: Kamini Kanta Mohanty , Mahesh Kumar Gellaboina , Jeremy Craig Wilson
- Applicant: Kamini Kanta Mohanty , Mahesh Kumar Gellaboina , Jeremy Craig Wilson
- Applicant Address: US NJ Morristown
- Assignee: Honeywell International Inc.
- Current Assignee: Honeywell International Inc.
- Current Assignee Address: US NJ Morristown
- Agency: Husch Blackwell
- Main IPC: G06K9/38
- IPC: G06K9/38

Abstract:
A method is presented for enhancing an image from an initial image, comprising computing a first luminance level frequency distribution corresponding to plurality of pixel constructing said initial image, representing said first luminance level frequency distribution as a resultant of Gaussian model mixtures to assess relative utilization of overall luminance level across said initial image, computing a desired luminance level frequency distribution as a function of the relative utilization, computing a transfer function to adjust the first luminance level frequency distribution to an enhanced luminance level as a function of desired level frequency distribution estimation, and applying said transfer function globally to said initial image to provide an enhanced image is. The first luminance level can be adapted to be linearized in a logarithmic form. In one embodiment, the model comprises one or more Gaussian functions. The initial image can be a background image estimated from a sequence of images.
Public/Granted literature
- US20110123133A1 GAUSSIAN MIXTURE MODEL BASED ILLUMINATION NORMALIZATION FOR GLOBAL ENHANCEMENT Public/Granted day:2011-05-26
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