Sony Corporation

Yamaha Corporation

Ntt Facilities, Inc.

Shinichiro Kaneko

Tetsujiro Kondo

Naoki Fujiwara

Takahiro Nagano

Tsutomu Watanabe

Junichi Ishibashi

Hisakazu Shiraki

Yasuhiro Suto

Masanori Kanemaru

Kenichi Tamiya

Kenji Ishizuka

Ari Yoshii

Takashi Mita

Kanji Tashiro

A system for implementing filter control includes an audio processing apparatus, an analog-to-digital converter, a digital-to-analog converter, a filter, and a processor. The processor is configured to receive parameters that define a frequency response in a given frequency bandwidth. The processor is also configured to generate, based on the parameters, a response curve representative of a frequency response of a filter. The processor is also configured to generate, based on the response curve, a filter coefficient of the filter. The lower inclined portion corresponds to, within the given frequency bandwidth, a frequency bandwidth that is lower than a frequency bandwidth corresponding to the upper inclined portion.

System for implementing filter control, filter controlling method, and frequency characteristics controlling method

A chilled water circulation system includes a thermal source, an AHU, a pump, and a control section. The thermal source chills water to a specified temperature. The AHU cools air by heat exchange with the chilled water. The pump feeds the chilled water having a flow rate corresponding to an operating frequency of a power inverter to the AHU. The control section calculates a degree of surplus, which indicates surplus capacity of the AHU to cool air, on the basis of information indicating the state of the AHU. If the degree of surplus is not lower than the specified threshold, the control section controls the operating frequency of the power inverter, thereby decreasing the flow rate of the chilled water fed from the pump. If the degree of surplus is lower than the specified threshold, the control section increases the flow rate of the chilled water fed from the pump.

Cold water circulation system with control of supply of cold water based on degree of air handler surplus

A motion-vector-setting section () sets a motion vector in units of pixel in a target image. Based on the motion vector, a target-pixel-setting section () sets a target pixel for each image in plural images to be processed. A motion-blur-amount-setting section () sets a motion blur amount in units of pixel based on the motion vector and the exposure-time ratio set in units of image in the exposure-time-ratio-setting section (). A processing-region-setting section () sets processing regions corresponding to the target pixel for each of the plural images based on the motion blur amount. A processing-coefficient-setting section () sets processing coefficients based on the motion blur amount. A pixel-value-generating section () generates motion-blur-removed pixel values that correspond to the target pixel by linear combination of pixel values corresponding to pixels in the processing region and the processing coefficients, so that they can be output from an integration section () as one pixel value. By utilizing any time-directional information significantly, motion-blur-removing processing can be accurately performed.

Image processing device, image processing method, and image processing program

A motion-setting section () sets a motion amount and a motion direction for obtaining processing coefficients. A student-image-generating section () 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 () 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 () 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.

Learning device, learning method, and learning program

A target-pixel-setting section () sets a target pixel in a target image to be predicted. A motion-direction-detecting section () detects a motion direction corresponding to the target pixel. A pixel-value-extracting section () extracts from peripheral images corresponding to the target image, in order to extract a main term that mainly contains component of the target pixel in a moving object that encounters a motion blur in the peripheral images, at least pixel values of pixels in the peripheral images whose space position roughly agree with space position of the target pixel. A processing-coefficient-setting section () sets a specific motion-blur-removing-processing coefficient. A pixel-value-generating section () newly generates pixel values for processing from the pixel values extracted by the pixel-value-extracting section () corresponding to the motion direction and generates pixel values corresponding to the target pixel based on the pixel values for processing and the specific motion-blur-removing-processing coefficients. It is possible to perform a robust motion-blur-removing processing on any shifts of motion vector.

Image processing device, learning device, and coefficient generating device and method

A shooting-information-detecting section detects shooting information from an image pick-up section. A motion-detecting section detects a motion direction of an image on an overall screen based on a motion direction of the image pick-up section contained in the shooting information. A processing-region-setting section sets a processing region in at least any one of a predicted target image and a peripheral image thereof, which correspond to a target pixel in the predicted target image. A processing-coefficient-setting section sets a motion-blur-removing-processing coefficient that corresponds to the motion direction detected in the motion-detecting section. A pixel-value-generating section generates a pixel value that corresponds to the target pixel based on a pixel value of a pixel in the processing region set in the processing-region-setting section and the processing coefficient set in the processing-coefficient-setting section. Motion-blur-removing processing can be accurately performed.

Image processing device that removes motion blur from an image and method of removing motion blur from an image

A motion-vector-setting section () sets a first motion vector in units of pixel in a target image. An exposure-time-ratio-setting section () sets in units of image an exposure time ratio that is a ratio between a time interval of the target image and a period of exposure time. A motion-blur-amount-setting section () sets a motion blur amount in units of pixel based on the exposure time ratio and the first motion vector. Based on the motion amount, a processing-region-setting section () sets processing regions as well as a processing-coefficient-setting section () sets processing coefficients. A pixel-value-generating section () generates pixel values that correspond to the target pixel from pixel values in the processing region and the processing coefficients. A motion-blur-adding section () adds a motion blur to an image containing the pixel value generated based on an input second motion vector and the first motion vector. An image-moving section () moves the motion-blur-added image along a counter vector of the second motion vector. Any more real arbitrary viewpoint image can be generated.

Growing community of inventors

Tokyo, Japan

Shinichiro Kaneko