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    • 2. 发明申请
    • IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM AND RECORDING MEDIUM
    • 图像处理装置,图像处理方法,程序和记录介质
    • US20130016920A1
    • 2013-01-17
    • US13543075
    • 2012-07-06
    • Yasuhiro MatsudaTakahiro NaganoMasashi Uchida
    • Yasuhiro MatsudaTakahiro NaganoMasashi Uchida
    • G06K9/32
    • G06T3/4053
    • Provided is an image processing device including a model-based processing portion that generates an estimated low resolution image from a high resolution image, using an observation model that performs motion compensation processing and down-sampling processing, a feature amount calculation portion that calculates a feature amount of at least one of a spatial feature amount and a temporal feature amount from one of an observed low resolution image, which is a low resolution image that is actually observed, and the high resolution image, and a prediction operation portion that predicts and generates an image with higher image quality based on the high resolution image, using a parameter which corresponds to the calculated feature amount and which is obtained from the observed low resolution image, from the estimated low resolution image and from learning that is performed in advance.
    • 提供了一种图像处理装置,其特征量计算部分包括:基于模型的处理部分,其使用执行运动补偿处理和下采样处理的观察模型从高分辨率图像生成估计的低分辨率图像;特征量计算部分, 以及作为实际观察到的低分辨率图像的观察低分辨率图像和高分辨率图像之一的空间特征量和时间特征量中的至少一个的量和预测和生成的预测操作部分 基于高分辨率图像具有较高图像质量的图像,使用与所计算的特征量相对应的参数,并且从所观察到的低分辨率图像获得的参考值与所估计的低分辨率图像和预先执行的学习相对应。
    • 4. 发明申请
    • IMAGE PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM
    • 图像处理装置和方法,程序和记录介质
    • US20120321214A1
    • 2012-12-20
    • US13463274
    • 2012-05-03
    • Kenichiro HosokawaTakahiro Nagano
    • Kenichiro HosokawaTakahiro Nagano
    • G06K9/40
    • G06T5/003G06T3/4007G06T5/20G06T2207/20012
    • Provided is an image processing apparatus including a sharpness improvement feature quantity calculation unit for calculating a sharpness improvement feature quantity of a pixel-of-interest, which is a feature quantity of sharpness improvement of a pixel-of-interest, according to a product-sum operation on pixel values of a plurality of peripheral pixels around a pixel of an input image corresponding to the pixel-of-interest, strengths of band limitation and noise addition, and filter coefficients corresponding to phases of the pixel-of-interest and the peripheral pixels, by designating a pixel of a prediction image as the pixel-of-interest when an image subjected to high image-quality processing is output as the prediction image, and a prediction calculation unit for calculating a prediction value of the pixel-of-interest by calculating a prediction expression defined by a product-sum operation on the sharpness improvement feature quantity and a prediction coefficient pre-obtained by learning.
    • 提供了一种图像处理装置,其包括:锐度改善特征量计算单元,用于根据产品特性量计算单元计算作为感兴趣像素的锐度改善的特征量的兴趣像素的锐度改善特征量; 对与感兴趣像素对应的输入图像的像素周围的多个周边像素的像素值进行和运算,频带限制和噪声添加的强度以及对应于感兴趣像素的相位的滤波器系数 周边像素,通过将输出高图像质量处理的图像作为预测图像输出,将预测图像的像素指定为感兴趣像素,以及预测计算单元,计算像素的像素的预测值 通过计算由锐积度改善特征量和预先获得的预测系数的乘积和运算定义的预测表达式来计算兴趣 学习。
    • 5. 发明授权
    • Learning device, learning method, and learning program
    • 学习设备,学习方法和学习方案
    • US07940993B2
    • 2011-05-10
    • US11722141
    • 2005-12-21
    • Takahiro NaganoTetsujiro KondoTsutomu WatanabeJunichi IshibashiHisakazu ShirakiNaoki FujiwaraMasanori KanemaruShinichiro KanekoYasuhiro Suto
    • Takahiro NaganoTetsujiro KondoTsutomu WatanabeJunichi IshibashiHisakazu ShirakiNaoki FujiwaraMasanori KanemaruShinichiro KanekoYasuhiro Suto
    • G06K9/40G06K9/00H04N5/228
    • H04N5/21H04N5/142H04N5/144
    • A motion-setting section (61) sets a motion amount and a motion direction for obtaining processing coefficients. A student-image-generating section (62) generates student images obtained by adding a motion blur to a teacher image not only based on the set motion amount and the set motion direction but also by changing at least one of the motion amount and motion direction in a specific ratio and student images obtained by adding no motion blur to the teacher image. A prediction-tap-extracting section (64) extracts, in order to extract a main term that mainly contains component of the target pixel, at least a pixel value of pixel in the student image whose space position roughly agrees with space position of the target pixel in the teacher image. A processing-coefficient-generating section (65) generates processing coefficients for predicting the target pixels in the teacher images from the pixel values of extracted pixels based on a relationship between the pixels thus extracted and the target pixels in the teacher images. The processing coefficients that are suitable for any motion blur removing which is robust against any shift of the motion vector can be generated through learning.
    • 运动设定部(61)设定用于获得处理系数的运动量和运动方向。 学生图像生成部(62)生成不仅基于设定的运动量和设定的运动方向而将运动模糊添加到教师图像而获得的学生图像,而且通过改变运动量和运动方向中的至少一个 以特定比例和学生图像通过添加没有运动模糊获得的教师图像。 预测抽头部(64)为了提取主要包含目标像素的成分的主项,提取学生图像中的空间位置大致与目标的空间位置一致的像素的像素值 像素在老师的形象。 处理系数生成部(65)基于所提取的像素与教师图像中的目标像素之间的关系,从提取的像素的像素值生成用于预测教师图像中的目标像素的处理系数。 可以通过学习来产生适用于对运动矢量的任何移动而鲁棒的任何运动模糊去除的处理系数。
    • 10. 发明授权
    • Image processing device and method, recording medium, and program
    • 图像处理装置和方法,记录介质和程序
    • US07561188B2
    • 2009-07-14
    • US10545081
    • 2004-02-13
    • Tetsujiro KondoTakahiro NaganoJunichi IshibashiTakashi SawaoNaoki FujiwaraSeiji WadaToru Miyake
    • Tetsujiro KondoTakahiro NaganoJunichi IshibashiTakashi SawaoNaoki FujiwaraSeiji WadaToru Miyake
    • H04N5/228G06K9/40G06K9/36
    • G06K9/4609G06T1/00G06T7/12G06T7/66G06T7/74G06T7/77
    • The present invention relates an image processing device and method, recording medium, and program. A simple-type angle detecting unit 901 simply detects the angle as continuity using correlation from an input image. A determining unit 902, based on the angle thus simply obtained, connects a switch 903 to a terminal 903a in the event the angle is closer to the horizontal direction or the vertical direction, and outputs the angle information simply detected to a regression-type angle detecting unit 904. The regression-type angle detecting unit 904 statistically detects and outputs the angle as continuity in a regression equation. On the other hand, in the event that the angle as continuity simply obtained is closer to 45 degrees, the determining unit 902 connects the switch 903 and a terminal 903b. At this time, a gradient-type angle detecting unit 905 detects and outputs the direction of continuity from the input image in a gradient equation. As a result, the angle as continuity may be detected more accurately.
    • 本发明涉及一种图像处理装置和方法,记录介质和程序。 简单型角度检测单元901使用来自输入图像的相关性简单地检测作为连续性的角度。 确定单元902基于如此简单地获得的角度,在角度更接近水平方向或垂直方向的情况下将开关903连接到端子903a,并将简单检测到的角度信息输出到回归型角度 回归型角度检测单元904统计地检测并输出角度作为回归方程中的连续性。 另一方面,在简单获得的连续角度接近45度的情况下,确定单元902连接开关903和端子903b。 此时,梯度型角度检测单元905在梯度方程中检测并输出来自输入图像的连续方向。 结果,可以更精确地检测作为连续性的角度。