公开(公告)号：US09478007B2

公开(公告)日：2016-10-25

申请号：US14862005

申请日：2015-10-19

Applicant: Samsung Electronics Co., Ltd.

Inventor： Bo Yang ,  Li Tao

IPC: G06T3/40 ,  G06T7/00 ,  G06K9/46 ,  G06T5/00

CPC classification number: G06T3/403 ,  G06K9/4604 ,  G06T3/4053 ,  G06T5/003 ,  G06T2207/20192

Abstract: A method includes determining, by a hardware processor and based on an image frame, a first edge strength distribution on a horizontal edge map and a second edge strength distribution on a vertical edge map. The first and second edge strength distributions are redistributed to narrow at least one of the first and second edge strength distributions. Non-texture regions of pixels are determined based on a data correlation map of the image frame. Edge strength magnitudes for the pixels of the non-texture regions of the horizontal edge map and the vertical edge map are determined. A high resolution frame is generated by adjusting intensity of respective pixels of the non-texture region of the horizontal edge map and the vertical edge map, the adjusting being based on neighboring pixels edge strength magnitudes.

Abstract translation: 一种方法包括由硬件处理器和基于图像帧确定水平边缘图上的第一边缘强度分布和垂直边缘图上的第二边缘强度分布。 重新分配第一和第二边缘强度分布以使第一和第二边缘强度分布中的至少一个变窄。 基于图像帧的数据相关图确定像素的非纹理区域。 确定水平边缘图的非纹理区域的像素和垂直边缘图的边缘强度大小。 通过调整水平边缘图和垂直边缘图的非纹理区域的各个像素的强度来生成高分辨率帧，该调整基于相邻像素边缘强度幅度。

公开(公告)号：US20160300326A1

公开(公告)日：2016-10-13

申请号：US14972021

申请日：2015-12-16

Applicant: REALTEK SEMICONDUCTOR CORPORATION

Inventor： HAO-TIEN CHIANG ,  SHIH-TSE CHEN

IPC: G06T5/00 ,  G06T7/40 ,  G06K9/52 ,  G06K9/62 ,  G06T7/60 ,  G06K9/46 ,  G06T7/00

CPC classification number: G06K9/4604 ,  G06T5/001 ,  G06T2207/20012 ,  G06T2207/20192

Abstract: This invention discloses an image processing device and an image processing method. The image processing device includes a line buffer, a pixel enhancing module, a smoothing module, a noise reduction module and a contrast adjusting module. The line buffer stores a plurality of pixel values of an image. The pixel enhancing module performs an edge-enhancing operation on the image. The smoothing module filters the image to improve the image in terms of roughness. The noise reduction module filters the image to improve the image in terms of a signal-to-noise ratio. The contrast adjusting module checks whether a target pixel is on a thin edge to decide the method of adjusting the contrast of the image.

Abstract translation: 本发明公开了一种图像处理装置和图像处理方法。 图像处理装置包括行缓冲器，像素增强模块，平滑模块，降噪模块和对比度调整模块。 行缓冲器存储图像的多个像素值。 像素增强模块对图像执行边缘增强操作。 平滑模块过滤图像以改善粗糙度方面的图像。 噪声降低模块根据信噪比对图像进行滤波以改善图像。 对比度调整模块检查目标像素是否在薄边缘上，以决定调整图像的对比度的方法。

公开(公告)号：US09460491B2

公开(公告)日：2016-10-04

申请号：US12197348

申请日：2008-08-25

Applicant: Yingjun Bai ,  Xing Li

Inventor： Yingjun Bai ,  Xing Li

IPC: G06T5/00 ,  H04N1/409 ,  H04N1/58 ,  G06T5/20 ,  G01N21/89

CPC classification number: G06T5/002 ,  G01N2021/891 ,  G06T5/20 ,  G06T2207/20012 ,  G06T2207/20192 ,  H04N1/409 ,  H04N1/58

Abstract: A system and method convert a pixel of binary image data to a pixel of contone image data by determining if a predetermined pixel of binary image data is part of a solid edge or part of a fuzzy edge. A binary to contone conversion circuit converts the predetermined pixel of binary image data to a pixel of a first contone image data value, and a filter circuit converts the predetermined pixel of binary image data to a pixel of a second contone image data value. The filter circuit uses an adaptive filtering operation wherein the adaptive filtering operation utilizes one of a plurality of sets of weighting coefficients to change a characteristic of the filtering operation. The set of weighting coefficients used in the filtering operation are selected in response to a fuzzy edge detection. A selection between the first contone image data value and the second contone image data value is made based upon the determination as whether the predetermined pixel of binary image data is part of a solid edge.

Abstract translation: 系统和方法通过确定二进制图像数据的预定像素是实线边缘的一部分还是模糊边缘的一部分，将二进制图像数据的像素转换为连续色调图像数据的像素。 二进制连续色调转换电路将二进制图像数据的预定像素转换为第一连续色调图像数据值的像素，并且滤波器电路将二进制图像数据的预定像素转换为第二连续色调图像数据值的像素。 滤波器电路使用自适应滤波操作，其中自适应滤波操作利用多组加权系数中的一个来改变滤波操作的特性。 响应于模糊边缘检测来选择在滤波操作中使用的一组加权系数。 基于作为二进制图像数据的预定像素是实心边缘的一部分的确定，进行第一连续色调图像数据值和第二连续色调图像数据值之间的选择。

公开(公告)号：US20160284093A1

公开(公告)日：2016-09-29

申请号：US15035308

申请日：2015-06-10

Applicant: RAMOT AT TEL-AVIV UNIVERSITY LTD.

Inventor： Harel HAIM ,  Emanuel MAROM ,  Alex BRONSTEIN

IPC: G06T7/00 ,  G06T5/50 ,  G06T5/00

CPC classification number: G06T7/50 ,  G06T5/003 ,  G06T5/50 ,  G06T7/571 ,  G06T2200/21 ,  G06T2207/10024 ,  G06T2207/10141 ,  G06T2207/20192

Abstract: A method of processing an image is disclosed. The method comprises decomposing the image into a plurality of channels, each being characterized by a different depth-of-field, and accessing a computer readable medium storing an in-focus dictionary defined over a plurality of dictionary atoms, and an out-of-focus dictionary defined over a plurality of sets of dictionary atoms, each set corresponding to a different out-of-focus condition. The method also comprises computing one or more sparse representations of the decomposed image over the dictionaries.

Abstract translation: 公开了处理图像的方法。 该方法包括将图像分解为多个信道，每个信道的特征在于不同的景深，以及访问存储在多个字典原子上定义的聚焦词典的计算机可读介质， 焦点词典定义在多组字典原子上，每一组对应于不同的失焦条件。 该方法还包括在词典上计算分解图像的一个或多个稀疏表示。

公开(公告)号：US20160284067A1

公开(公告)日：2016-09-29

申请号：US15033550

申请日：2014-11-06

Applicant: HUAWEI DEVICE CO., LTD.

Inventor： Congchao Zhu ,  Wei Luo ,  Xiaowei Yang ,  Bin Deng

IPC: G06T5/00 ,  G06T5/10

CPC classification number: G06T5/002 ,  G06T5/10 ,  G06T5/20 ,  G06T2207/10024 ,  G06T2207/20016 ,  G06T2207/20064 ,  G06T2207/20192

Abstract: An image denoising method and terminal, where the method includes acquiring image data of an image, performing wavelet decomposition on at least one component of three components of the image data to obtain a high frequency wavelet coefficient and a low frequency wavelet coefficient of each component, performing recursive denoising on the low frequency wavelet coefficient of each component in at least one direction, to obtain a denoised low frequency wavelet coefficient of each component, performing wavelet reconstruction according to the high frequency wavelet coefficient of each component and the denoised low frequency wavelet coefficient of each component, to obtain at least one denoised component, and obtaining denoised image data.

Abstract translation: 一种图像去噪方法和终端，其中所述方法包括获取图像的图像数据，对图像数据的三个分量的至少一个分量执行小波分解，以获得每个分量的高频小波系数和低频小波系数， 在至少一个方向上对每个分量的低频小波系数执行递归去噪，以获得每个分量的去噪低频小波系数，根据每个分量的高频小波系数和去噪的低频小波系数进行小波重构 以获得至少一个去噪组分，并获得去噪的图像数据。

公开(公告)号：US09449373B2

公开(公告)日：2016-09-20

申请号：US14183262

申请日：2014-02-18

Applicant: SAMSUNG DISPLAY CO., LTD.

Inventor： Candice Hellen Brown Elliott ,  Michael Francis Higgins

IPC: G09G5/02 ,  G09G5/06 ,  G06T3/40 ,  G06T3/20 ,  G06T5/00 ,  G06T5/40 ,  G06T11/60 ,  H04N1/60 ,  H04N5/57 ,  H04N5/202 ,  H04N9/68 ,  H04N5/58 ,  G09G3/20

CPC classification number: G06T5/003 ,  G06T2207/20192 ,  G09G3/2003 ,  G09G5/02 ,  G09G2300/0452 ,  G09G2340/0457

Abstract: A computer-implemented method of modifying image data is presented. The method entails detecting a triggering pattern based on colors and saturation values of a group of pixels, wherein at least one of the pixels includes a plurality of subpixels, and wherein the triggering pattern includes at least a portion of one of a diagonal line and a vertical line. The method changes the image data for a specific subpixel in the group of pixels, wherein the specific subpixel is located in or adjacent to the diagonal line or the vertical line. Alternatively, the method entails detecting a border between saturated-color subpixels and non-saturated-color subpixels, and adding luminance to white subpixels at the border. A display system configured to execute the above methods and a computer-readable medium storing instructions for executing the above methods are also presented.

Abstract translation: 提出了一种修改图像数据的计算机实现方法。 该方法需要基于一组像素的颜色和饱和度值来检测触发模式，其中至少一个像素包括多个子像素，并且其中触发模式包括对角线和 垂线。 该方法改变像素组中的特定子像素的图像数据，其中特定子像素位于或相邻于对角线或垂直线。 或者，该方法需要检测饱和色子像素和非饱和色子像素之间的边界，并且将亮度添加到边界处的白色子像素。 还呈现了配置为执行上述方法的显示系统和存储用于执行上述方法的指令的计算机可读介质。

公开(公告)号：US20160267628A1

公开(公告)日：2016-09-15

申请号：US14993067

申请日：2016-01-11

Applicant: Realtek Semiconductor Corporation

Inventor： Jun-Yu YANG ,  Chun-Hsing HSIEH ,  Shang-Yen LIN

IPC: G06T3/40 ,  G06T5/20 ,  G06T11/60

CPC classification number: G06T3/4007 ,  G06T5/003 ,  G06T5/20 ,  G06T11/60 ,  G06T2207/20192

Abstract: An image processing apparatus includes a gradient calculation unit, a direction determining unit, a directional interpolation unit, and a blender unit. The gradient calculation unit processes an input image to generate gradient magnitudes and gradient angles associated with input pixels of the input image. The direction determining unit generates interpolation angles and directional confidence values according to the gradient magnitudes and gradient angles. The directional interpolation unit performs directional interpolation on the input image according to the interpolation angles, so as to generate a first image with an image resolution different from the input image. The blender receives the first image and a second image generated from interpolating the input image, and blends the first image and the second image according to the directional confidence values to generate an output image.

Abstract translation: 图像处理装置包括梯度计算单元，方向确定单元，方向插值单元和搅拌器单元。 梯度计算单元处理输入图像以生成与输入图像的输入像素相关联的梯度和梯度角。 方向确定单元根据梯度和梯度角产生内插角度和方向置信度值。 方向插补单元根据插值角度对输入图像进行方向插值，以便生成具有与输入图像不同的图像分辨率的第一图像。 搅拌器接收第一图像和从插入输入图像生成的第二图像，并且根据方向置信度将第一图像和第二图像混合以产生输出图像。

公开(公告)号：US20160255241A1

公开(公告)日：2016-09-01

申请号：US15052196

申请日：2016-02-24

Applicant: KONICA MINOLTA, INC.

Inventor： Takashi HARASHIMA ,  Takaaki KOORIYA ,  Katsuyuki HIRATA

IPC: H04N1/409

CPC classification number: H04N1/00334 ,  G06K7/0095 ,  G06K7/10851 ,  G06K7/1413 ,  G06K7/1452 ,  G06K7/146 ,  G06K7/1486 ,  G06K9/183 ,  G06K9/4604 ,  G06K15/00 ,  G06K15/1223 ,  G06K15/1872 ,  G06T5/003 ,  G06T7/13 ,  G06T2207/20192 ,  H04N1/40037 ,  H04N1/4092

Abstract: In image-checking equipment, a detector reads a line-shaped check image formed on a sheet and acquires image data on the check image. A controller calculates an edge blur in a rising edge and a falling edge of the image data, calculates a line width of the check image. The controller refers to a correction table with the measured values of the edge blur and the line width of the check image, and acquires a corrected line width value based on the correction table to obtain the real line width of the check image.

Abstract translation: 在图像检查装置中，检测器读取在片材上形成的线状检查图像，并获取检查图像上的图像数据。 控制器计算图像数据的上升沿和下降沿中的边缘模糊，计算检查图像的线宽。 控制器参考具有边缘模糊和检查图像的线宽的测量值的校正表，并且基于校正表获取校正的线宽值，以获得校验图像的实线宽度。

公开(公告)号：US20160253783A1

公开(公告)日：2016-09-01

申请号：US15139330

申请日：2016-04-27

Applicant: EIZO Corporation

Inventor： Masafumi HIGASHI ,  Haifeng CHEN ,  Reo AOKI ,  Hiroki MATSUZAKI ,  Tadayoshi KATAGIRI

IPC: G06T3/40 ,  G06T5/40 ,  G06T5/00

CPC classification number: G06T3/4076 ,  G06T3/4053 ,  G06T5/001 ,  G06T5/003 ,  G06T5/40 ,  G06T2207/20024 ,  G06T2207/20081 ,  G06T2207/20192 ,  G06T2207/20221 ,  H04N7/0117

Abstract: An image quality enhancing apparatus which make a learning-type image quality enhancing method utilizing a sparse expression practical are provided. The apparatus calculates, from the feature quantity of an image, coefficients of low-image-quality base vectors expressing a feature quantity with a linear sum and generates the image with the image quality enhanced by calculating a linear sum of high-image-quality base vectors using the calculated coefficient. When calculating the coefficient, the number of base vectors with non-zero coefficients is determined, the determined number of base vectors is selected, and a solution of a coefficient matrix is calculated by assuming the coefficients of the base vectors other than the selected base vectors are zero. The amount of processes necessary for obtaining a sparse solution of a coefficient matrix can be reduced by adjusting the number of base vectors with non-zero coefficients, and a practical image quality enhancing apparatus can be realized.

Abstract translation: 提供了利用稀疏表达式实现的学习型图像质量提高方法的图像质量提高装置。 该装置从图像的特征量计算表示具有线性和的特征量的低图像质量的基本向量的系数，并且通过计算高图像质量基数的线性和来生成图像质量增强的图像 使用计算系数的向量。 当计算系数时，确定具有非零系数的基本向量的数量，确定所确定的基本向量的数量，并且通过假设除所选择的基本向量之外的基本向量的系数来计算系数矩阵的解 是零。 可以通过调整具有非零系数的基本向量的数量来减少用于获得系数矩阵的稀疏解的必要处理量，并且可以实现实用的图像质量提高装置。

公开(公告)号：US09424630B2

公开(公告)日：2016-08-23

申请号：US14922773

申请日：2015-10-26

Applicant: Samsung Electronics Co., Ltd.

Inventor： Il Soon Lim ,  Seung Sin Lee ,  Young Ran Han

IPC: G06T5/00 ,  G06T7/00 ,  G06T5/20 ,  H04N19/176 ,  H04N19/60 ,  H04N19/61 ,  H04N19/117 ,  H04N19/80 ,  H04N19/86 ,  H04N19/14 ,  H04N19/182

CPC classification number: G06T5/002 ,  G06T5/20 ,  G06T2207/10024 ,  G06T2207/20012 ,  G06T2207/20192 ,  H04N19/117 ,  H04N19/14 ,  H04N19/176 ,  H04N19/182 ,  H04N19/60 ,  H04N19/61 ,  H04N19/80 ,  H04N19/86

Abstract: A method and an apparatus for detecting and removing a false contour, a method and an apparatus for verifying whether a pixel is included in a contour, and a method and an apparatus for calculating simplicity are provided. The method for detecting and removing the false contour includes: verifying whether a pixel of an input video is included in a contour; calculating simplicity of the pixel; determining whether the pixel is included in a false contour based on the simplicity and based on whether the pixel is included in the contour; and removing the false contour from the input video via smoothing with respect to the false contour.

Abstract translation: 提供了用于检测和去除假轮廓的方法和装置，用于验证像素是否包括在轮廓中的方法和装置，以及用于简单计算的方法和装置。 用于检测和去除假轮廓的方法包括：验证输入视频的像素是否包括在轮廓中; 计算像素的简单性; 基于所述简单性并且基于所述像素是否包括在所述轮廓中来确定所述像素是否包括在假轮廓中; 以及通过相对于假轮廓的平滑来从输入视频中去除假轮廓。