Abstract: A signal processing device for learning operations made by a user, and for generating signal optimal to the user based on the learning results. A learning unit monitors supplied operating signals generated based on user operations, and judges whether to learn the operating signals. When the operating signals are to be learned, the learning unit learns a correction norm for correcting input signals, based on the learning operating signals and outputs the correction norm to a correcting unit. The correcting unit corrects input signals based on the correction norm and outputs the corrected signals as output signals. The present invention can be applied to an NR (Noise Reduction) circuit which removes noise.

Abstract: A transmission and reception system, in which during transmission a background picture and objects #1 to #3 are transmitted at a transmission rate of R/4 each. On the reception side, a picture composed of the objects #1 to #3 and the background picture is displayed with a particular spatial resolution and a particular temporal resolution. When the object #1 is dragged at a particular time t1, on the transmission side, the transmission of the background picture and the objects #2 and #3 is stopped. Only the object #1is transmitted at the transmission rate of R of the transmission path. Thus, a picture of which the spatial resolution of the object #1 dragged is improved at the sacrifice of the temporal resolution of the picture.

Abstract: A motion-vector-setting section (31) sets a first motion vector in units of pixel in a target image. An exposure-time-ratio-setting section (32) 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 (33) 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 (36) sets processing regions as well as a processing-coefficient-setting section (37) sets processing coefficients. A pixel-value-generating section (38) 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 (41) adds a motion blur to an image containing the pixel value generated based on an input second motion vector and the first motion vector.

Abstract: A motion-vector-setting section (31) sets a motion vector in units of pixel in a target image. Based on the motion vector, a target-pixel-setting section (35) sets a target pixel for each image in plural images to be processed. A motion-blur-amount-setting section (33) 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 (32). A processing-region-setting section (36) 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 (37) sets processing coefficients based on the motion blur amount.

Abstract: A shooting-information-detecting section (31) detects shooting information from an image pick-up section (10). A motion-detecting section (33) 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 (36) 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 (37) sets a motion-blur-removing-processing coefficient that corresponds to the motion direction detected in the motion-detecting section (33). A pixel-value-generating section (38) 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 (36) and the processing coefficient set in the processing-coefficient-setting section (37).

Abstract: 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.

Abstract: A target-pixel-setting section (31) sets a target pixel in a target image to be predicted. A motion-direction-detecting section (32) detects a motion direction corresponding to the target pixel. A pixel-value-extracting section (36) 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 (37a) sets a specific motion-blur-removing-processing coefficient.

Abstract: A signal processing device, signal processing method, and program and recording medium, whereby images and the like closer approximating real world signals can be obtained. The signal processing device includes a processing region setting unit, a movement vector setting unit, and a real world estimating unit.

Abstract: A signal processing device, signal processing method, and program and recording medium, whereby images and the like closer approximating real world signals can be obtained. The signal processing device includes a movement vector setting unit and a real world estimating unit.

Abstract: A signal processing device, signal processing method, and program and recording medium whereby images and the like closer approximating real world signals can be obtained. The signal processing device includes a movement vector setting unit, a model generator, an equation generator, and a real world waveform estimating unit.

Abstract: A signal processing device, signal processing method, and program and recording medium which provide images and the like closer approximating real world signals. The signal processing device includes a processing region setting unit, a movement vector setting unit, a model generator, a normal equation generator, an activity detector, a weighting change unit, and a real world estimating unit.

Abstract: A signal processing device, signal processing method, and program and recording medium which provide images and the like closer approximating real world signals. The signal processing device includes a processing region setting unit, a motion vector setting unit, a model generator, a normal equation generator, a weighting change unit, and a real world estimating unit.

Abstract: The present invention relates to a signal processing device and signal processing method, and program and recording medium, whereby images and the like closer approximating real world signals can be obtained. With regard to an input image of dimensions fewer than the dimensions of actual world light signals, wherein actual world light signals have been projected and a part of the continuity of the actual world light signals has been lost, actual world signals are estimated at an actual world signal estimating unit 10003 from the input image within a processing region set at a processing region setting unit 10001, corresponding to continuity set at a continuity setting unit 10002. On the other hand, information relating to at least one of processing region, continuity, and actual world signals, is supplied from a user I/F 10006 to the processing region setting unit 10001, continuity setting unit 10002, or actual world signal estimating unit 10003, according to user operations.

Abstract: On the transmission side, a background picture and objects #1 to #3 are transmitted at a transmission rate R/4 each. On the reception side, a picture composed of the objects #1 to #3 and the background picture is displayed with a particular spatial resolution and a particular temporal resolution. In this case, on the reception side, when the object #1 is dragged at particular time t1, on the transmission side, as shown in FIG. 16 (A), the transmission of the background picture and the objects #2 and #3 is stopped. Only the object #1 is transmitted at the transmission rate R of the transmission path. Thus, a picture of which the spatial resolution of the object #1 dragged is improved is displayed at the sacrifice of the temporal resolution of the picture.

Abstract: The present invention relates to a signal processing device and signal processing method, and program and recording medium, whereby images and the like closer approximating real world signals can be obtained. An object which is moving at a movement amount v in the horizontal direction is photographed, and an image wherein the object is blurred is input into a signal processing device. A continuity setting unit 15012 supplies the movement amount v of the object to an actual world estimating unit 15013 as continuity information. The actual world estimating unit 15013 estimates a pixel value for an image without blurring, by computing a normal equation comprising a model equation which models the relation of the pixel values in the input image and the pixel values in an image without blurring according to the movement amount v, and a constraint condition expression which constrains between the pixels in an image without blurring, and supplies this to an image generating unit 15014.

Abstract: The present invention relates to a signal processing device and signal processing method, and program and recording medium, whereby images and the like closer approximating real world signals can be obtained. An actual world estimating unit 17003 estimates the actual world function, assuming that the pixel value of each pixel corresponding to a position in the x direction of image data wherein real world light signals are projected on a plurality of pixels each having the time-space integration effects, and part of the continuity of the real world light signals has been lost is a pixel value acquired by integrating the actual world function corresponding to the real world light signals approximated with a spline function in the x direction. An image generating unit 17004 generates an image by integrating the actual world function in the x direction in predetermined increments.

Abstract: A motion vector detection section 30a detects a motion vector by using an image that is made up of multiple pixels and acquired by an image sensor having time integration effects. A time resolution creation section 90 generates an image that has a higher time resolution by using the detected motion vector and the image made up of the multiple pixels. A motion-blurring-mitigated image generation section 40 generates a motion-blurring-mitigated image in which motion blurring of a moving object is mitigated by using the detected motion vector on the assumption that a pixel value of pixel of the moving object in the image is a value obtained by integrating, in a time direction, a pixel value of each pixel in which no motion blurring that corresponds to the moving object occur as it is moved.

Abstract: Motion blurring of a moving object in an image is mitigated with tracking the moving object. A motion vector detection section 30 detects motion vector of the moving object moving in an image, which is made up of multiple pixels and acquired by an image sensor having time integration effects, by using image data Dva of the image. A motion-blurring-mitigated object image generation section 40 generates image data DBf of a motion-blurring-mitigated object image in which motion blurring occurred in the moving object in the image is mitigated by using the detected motion vector. A output section 50 combines the image data DBf of the motion-blurring-mitigated object image into a space-time location corresponding to the motion vector detected in the image based on background component image data DBb, to generate image data DVout of the motion-blurring-mitigated image.

Abstract: On the transmission side, a background picture and objects #1 to #3 are transmitted at a transmission rate R/4 each. On the reception side, a picture composed of the objects #1 to #3 and the background picture is displayed with a particular spatial resolution and a particular temporal resolution. In this case, on the reception side, when the object #1 is dragged at particular time t1, on the transmission side, as shown in FIG. 16 (A), the transmission of the background picture and the objects #2 and #3 is stopped. Only the object #1 is transmitted at the transmission rate R of the transmission path. Thus, a picture of which the spatial resolution of the object #1 dragged is improved is displayed at the sacrifice of the temporal resolution of the picture.

Abstract: On the transmission side, a background picture and objects #1 to #3 are transmitted at a transmission rate R/4 each. On the reception side, a picture composed of the objects #1 to #3 and the background picture is displayed with a particular spatial resolution and a particular temporal resolution. In this case, on the reception side, when the object #1 is dragged at particular time t1, on the transmission side, as shown in FIG. 16 (A), the transmission of the background picture and the objects #2 and #3 is stopped. Only the object #1 is transmitted at the transmission rate R of the transmission path. Thus, a picture of which the spatial resolution of the object #1 dragged is improved is displayed at the sacrifice of the temporal resolution of the picture.