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    • 3. 发明申请
    • Device for uniformly enhancing images
    • 用于均匀增强图像的设备
    • US20140147042A1
    • 2014-05-29
    • US14040707
    • 2013-09-29
    • Chenyang GeYanhui Zhou
    • Chenyang GeYanhui Zhou
    • G06T5/50
    • G06T5/008G06T2207/20021
    • A device for uniformly enhancing images includes a control unit, a lined cache controller, a lined storage array, an average grayscale computing unit, a scaling coefficient computing unit and an enhancement computing unit. For a color image, the color image is firstly transformed in to YUV space from RGB space and a grayscale image of Y component thereof is divided into identical-sized image blocks; then each image block is uniformly processed with a grayscale enhancement. A method for uniformly enhancing images includes firstly designating a reference grayscale value gray_value for grayscale images, comparing the reference grayscale value to an average grayscale value mean_value of a current image block to obtain a scaling coefficient, and multiplying all pixels or specific pixels within the image block by the scaling coefficient. The grayscale enhancement of an image sequence uses an identical grayscale value for reference, so as to accomplish a uniform enhancement of different images.
    • 用于均匀增强图像的装置包括控制单元,内衬高速缓存控制器,内衬存储阵列,平均灰度计算单元,缩放系数计算单元和增强计算单元。 对于彩色图像,彩色图像首先从RGB空间变换到YUV空间,并且其Y分量的灰度图像被分成相同大小的图像块; 那么每个图像块均匀地用灰度级增强处理。 用于均匀增强图像的方法包括首先为灰度图像指定参考灰度值灰度值,将参考灰度值与当前图像块的平均灰度值平均值进行比较以获得缩放系数,并且将图像内的所有像素或特定像素相乘 按比例缩放系数。 图像序列的灰度增强使用相同的灰度值作为参考,以便实现不同图像的均匀增强。
    • 4. 发明申请
    • ONE METHOD OF DEPTH PERCEPTION BASED ON BINARY LASER SPECKLE IMAGES
    • 一种基于二进制激光标记图像的深度感知方法
    • US20150228080A1
    • 2015-08-13
    • US14591101
    • 2015-01-07
    • Chenyang GEYanhui ZHOU
    • Chenyang GEHuimin YAOYanhui ZHOU
    • G06T7/00
    • G06T7/0065G06K9/2036G06T7/231G06T7/521G06T7/55G06T2207/10048
    • The present invention discloses a method of depth perception based on binary laser speckle images: read in binary input and reference speckle images (pattern fixed, distance known) to generate the input and reference speckle windows, extract an image block of a certain size in the input speckle window, search the matching block in the matching search window of the reference speckle window, then use the method for block XOR similarity calculation to compare and output the minimum similarity value or use the block IAD method to compare and output the maximum similarity value to get the optimal matching block and the optimal offset, then to work out the central point depth information of this image block via the formula for depth calculation. The present invention not only can complete hardware implementation easily, greatly simplify the calculation, also generate high-resolution and high-precision depth information in a fast and accurate manner.
    • 本发明公开了一种基于二进制激光散斑图像的深度感知方法:在二进制输入和参考散斑图像(图案固定,已知距离)中读取,以生成输入和参考散斑窗口,提取一定尺寸的图像块 输入散斑窗口,在参考散斑窗口的匹配搜索窗口中搜索匹配块,然后使用块XOR相似度计算方法比较和输出最小相似度值,或使用块IAD方法来比较和输出最大相似度值 获得最优匹配块和最优偏移,然后通过深度计算公式计算出该图像块的中心点深度信息。 本发明不仅可以轻松完成硬件实现,大大简化计算,还能以快速准确的方式生成高分辨率,高精度的深度信息。
    • 9. 发明授权
    • One method of depth perception based on binary laser speckle images
    • 一种基于二进制激光散斑图像的深度感知方法
    • US09454821B2
    • 2016-09-27
    • US14591101
    • 2015-01-07
    • Chenyang GeYanhui Zhou
    • Chenyang GeHuimin YaoYanhui Zhou
    • G06K9/00G06T7/00G06T7/20G06K9/20
    • G06T7/0065G06K9/2036G06T7/231G06T7/521G06T7/55G06T2207/10048
    • A method of depth perception based on binary laser speckle images comprises: read in binary input and reference speckle images (pattern fixed, distance known) to generate input and reference speckle windows, extract an image block of a certain size in the input speckle window, search for the matching block in the matching search window of the reference speckle window, use a method for block-based XOR (exclusive or) similarity calculation to compare and output a minimum similarity value or use a block-based IAD (inclusive and) method to compare and output a maximum similarity value to get the optimal matching block and the optimal offset, and then work out the depth information of the central point of the optimal matching block via a formula for depth calculation. The method not only can be easily implemented in hardware and greatly simplify depth calculation, but can also generate high-resolution and high-precision depth information in a fast and accurate manner.
    • 基于二进制激光散斑图像的深度感知方法包括:在二进制输入和参考散斑图像(图案固定,已知距离)中读取以产生输入和参考斑点窗口,在输入散斑窗口中提取一定尺寸的图像块, 在参考散斑窗口的匹配搜索窗口中搜索匹配块,使用基于块的XOR(异或)相似度计算的方法来比较和输出最小相似度值或使用基于块的IAD(包括和)方法 比较和输出最大相似度值以获得最优匹配块和最优偏移量,然后通过深度计算公式计算最优匹配块中心点的深度信息。 该方法不仅可以方便地在硬件中实现,而且可以大大简化深度计算,也可以快速准确地生成高精度,高精度的深度信息。