公开(公告)号：US20150269717A1

公开(公告)日：2015-09-24

申请号：US14733272

申请日：2015-06-08

Applicant: Texas Instruments Incorporated

Inventor： Batur Aziz Umit ,  Rajesh Narasimha

IPC: G06T5/40 ,  G06T7/40 ,  G06T5/00

CPC classification number: G06T5/40 ,  G06T5/002 ,  G06T5/009 ,  G06T2207/10004 ,  G06T2207/20021 ,  G06T2207/20081 ,  H04N5/217 ,  H04N5/23229 ,  H04N5/2351

Abstract: A method for brightness and contrast enhancement includes computing a luminance histogram of a digital image, computing first distances from the luminance histogram to a plurality of predetermined luminance histograms, estimating first control point values for a global tone mapping curve from predetermined control point values corresponding to a subset of the predetermined luminance histograms selected based on the computed first distances, and interpolating the estimated control point values to determine the global tone mapping curve. The method may also include dividing the digital image into a plurality of image blocks, and enhancing each pixel in the digital image by computing second distances from a pixel in an image block to the centers of neighboring image blocks, and computing an enhanced pixel value based on the computed second distances, predetermined control point values corresponding to the neighboring image blocks, and the global tone mapping curve.

Abstract translation: 一种用于亮度和对比度增强的方法包括计算数字图像的亮度直方图，计算从亮度直方图到多个预定亮度直方图的第一距离，从与对应的预定控制点值相对应的全局色调映射曲线估计第一控制点值 基于所计算的第一距离选择的预定亮度直方图的子集，以及内插估计的控制点值以确定全局色调映射曲线。 该方法还可以包括将数字图像划分成多个图像块，并且通过计算从图像块中的像素到相邻图像块的中心的第二距离来增强数字图像中的每个像素，并且基于 在计算出的第二距离上，对应于相邻图像块的预定控制点值和全局色调映射曲线。

公开(公告)号：US20140152694A1

公开(公告)日：2014-06-05

申请号：US14098230

申请日：2013-12-05

Applicant: Texas Instruments Incorporated

Inventor： Rajesh Narasimha ,  Aziz Umit Batur

IPC: G09G5/377

CPC classification number: G09G5/377 ,  G06T5/008 ,  G06T5/50 ,  G06T2207/10144 ,  G06T2207/20012 ,  G06T2207/20021 ,  G06T2207/20208

Abstract: A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.

Abstract translation: 提供了一种产生高动态范围（HDR）图像的方法，其包括捕获场景的长曝光图像和短曝光图像，基于所述长曝光图像的像素值计算长曝光图像的每个像素位置的合并权重 像素位置和饱和度阈值，并且计算HDR图像的每个像素位置的像素值，作为长曝光图像和短曝光图像中的对应像素值的加权和，其中应用于像素的像素值的权重 基于针对像素位置计算的合成权重并响应于长曝光图像的场景中的运动，确定短曝光图像的位置和施加到像素长曝光图像中的像素位置的像素值的权重 短曝光图像。