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    • 15. 发明授权
    • Method and system of noise removal for a sparsely sampled extended dynamic range image sensing device
    • 用于稀疏采样的扩展动态范围图像感测装置的噪声去除方法和系统
    • US06646246B1
    • 2003-11-11
    • US09718882
    • 2000-11-21
    • Edward B. GindeleAndrew C. Gallagher
    • Edward B. GindeleAndrew C. Gallagher
    • H04N5225
    • H04N5/357H04N5/235H04N9/045
    • A method of removing noise from a sparsely sampled extended dynamic range image produced by a sparsely sampled extended dynamic range image sensing device having fast photosites with a predetermined response to a light exposure for producing fast pixel values and slow photosites with a slower response to the same light exposure for producing slow pixel values, includes the steps of: providing a sparsely sampled extended dynamic range digital image having fast and slow pixel values; using a noise filter method to remove noise from the sparsely sampled extended dynamic range digital image by using only slow pixel values to generate slow noise reduced pixel values and using only fast pixel values to generate fast noise reduced pixel values; and combining the slow noise reduced pixel values and the fast noise reduced pixel values to generate a noise reduced sparsely sampled digital image.
    • 从由稀疏采样的扩展动态范围图像感测装置产生的稀疏采样的扩展动态范围图像中消除噪声的方法,所述扩展动态范围图像感测装置具有具有对曝光的预定响应的快速光斑以产生具有较慢响应的快速像素值和慢光子 用于产生慢像素值的曝光包括以下步骤:提供具有快和慢像素值的稀疏采样的扩展动态范围数字图像; 使用噪声滤波器方法通过仅使用慢像素值来产生慢噪声降低的像素值并且仅使用快速像素值来生成快速降噪像素值,以从稀疏采样的扩展动态范围数字图像中去除噪声; 以及组合慢噪声降低的像素值和快速降低噪声的像素值以生成噪声减少的稀疏采样的数字图像。
    • 16. 发明授权
    • Digital image processing method and for brightness adjustment of digital images
    • 数字图像处理方法和数字图像的亮度调整
    • US06636646B1
    • 2003-10-21
    • US09619998
    • 2000-07-20
    • Edward B. Gindele
    • Edward B. Gindele
    • G06K900
    • G06T5/20
    • A method of calculating a brightness balance value for an original image having contribution from the visible spectrum of wavelengths including red, green, and blue wavelengths comprising the steps of a) generating one or more pseudo luminance values from the original image wherein (i) the pseudo luminance value contribution from the red wavelengths is greater than or equal to the contribution from the green wavelengths; (ii) the pseudo luminance value contribution from the green wavelengths is greater than the contribution from the blue wavelengths; (iii) the pseudo luminance value contribution from the red and green wavelengths are greater than zero; and (iv) the pseudo luminance value contribution from the blue wavelengths is greater than or equal to zero; and b) using the pseudo luminance values to calculate a brightness balance value.
    • 一种计算从包括红色,绿色和蓝色波长的波长的可见光谱贡献的原始图像的亮度平衡值的方法,包括以下步骤:a)从原始图像生成一个或多个伪亮度值,其中(i) 来自红色波长的伪亮度值贡献大于或等于来自绿色波长的贡献;(ii)来自绿色波长的伪亮度值贡献大于来自蓝色波长的贡献;(iii)伪亮度值 红色和绿色波长的贡献大于零; 和(iv)来自蓝色波长的伪亮度值贡献大于或等于零; 以及b)使用伪亮度值来计算亮度平衡值。