Abstract:
A foreground extracting section extracts the foreground of each of the first to the N-th frames, and a foreground-accumulated-image configuration section configures a front accumulated image obtained by overlapping the foregrounds of the first to the N-th frames viewed from the future side and a rear accumulated image obtained by overlapping them viewed from the past side. A learning section uses the front accumulated image and the rear accumulated image to obtain prediction coefficients used for predicting the foreground of each frame, and a multiplexer outputs the prediction coefficients, the front accumulated image, and the rear accumulated image as the result of encoding of the foregrounds of the first to the N-th frames.
Abstract:
The present invention relates to an image processing apparatus in which a mixture ratio indicating the mixture state of a plurality of objects can be detected. A normal-equation adder 441 extracts mixed pixel data, and also extracts background pixel data corresponding to the mixed pixel data so as to generate relational expressions for the mixed pixel data and the background pixel data. A normal-equation calculator 442 detects a single mixture ratio in accordance with a predetermined number of consecutive frames based on the relational expressions. The present invention is applicable to an image processing apparatus in which a difference between a signal detected by a sensor and the real world is taken into consideration.
Abstract:
A signal processor 12 acquires a second signal obtained by detecting a first signal, as a signal of the real world, having a first dimension. The second signal is of a second dimension lower than the first dimension and has distortion relative to the first signal. The signal processor 12 performs signal processing which is based on the second signal to generate a third signal alleviated in distortion as compared to the second signal.
Abstract:
An information-processing apparatus is provided. For example, an information-processing apparatus has a noise-reduction-processing unit configured to reduce noise included in a received informational signal, an adjustment unit configured to allow a user to adjust a value of a noise reduction level in the noise-reduction-processing unit, a noise-amount-detecting unit configured to detect an amount of the noise contained in the received informational signal, and a storage control unit configured to control at least any one of an amount of noise that is detected by the noise-amount-detecting unit and paired data relative to data on a value of the noise reduction level that is adjusted by the adjustment unit and data on an amount of noise that is detected by the noise-amount-detecting unit at the adjustment by the adjustment unit.
Abstract:
The present invention relates to an image processing device and method, and a program, capable of obtaining processing results which are even more accurate and even more precise as to events in the real world, taking into consideration the real world where data has been acquired. In the event that the light signal in the actual world 1 represented with the light signal function F has predetermined continuity, the actual world estimating unit 102 estimates the light signal function F by approximating the light signal function F with a predetermined approximation function f using weighting provided in accordance with importance to the pixels within an input image (image data including continuity of data corresponding to continuity) from the sensor 2, and data continuity information (data continuity information corresponding to continuity of the input image data) from the data continuity detecting unit 101. The present invention can be applied to an image processing device.
Abstract:
In each of the memory cell arrays in the memory banks, a memory cell row corresponding to each of the word lines extending in a column direction of each of the memory cell arrays store pixel data of each pixel block of first and second rows set in a horizontal way in a search area within a search frame of picture signal. The pixel data of a predetermined pixel block is selectively captured into each of the data buffer through the sense amplifiers and the switches. Selector sequentially extracts pixel data as candidate blocks based on the pixel data of two pixel blocks held in each of the data buffers. The matching circuit matches the pixel data as the extracted candidate blocks against the pixel data as the input reference block using the block-matching process to obtain a motion vector relative to the reference block.
Abstract:
An enlarged image is displayed using a plurality of television sets. A television set serving as a master device and television sets serving as slave devices convert an input image into partial enlarged images and display the resultant partial enlarged images so that the partial enlarged images displayed on the respective television sets form, as a whole, a complete enlarged full image. The master device and slave devices perform mutual authentication with each other. If the authentication is successfully passed, the operation mode is set so that displaying of an enlarged image is allowed.
Abstract:
This invention relates to an apparatus for processing an information signal etc. that, when converting, for example, SD signal into HD signal, enables well to be obtained pixel data of HD signal no matter whether the dynamic range DR is large or small. DR in a class tap is detected. If DR≧Th, items of pixel data y1-a−y4-a calculated by using item of coefficient data Wi-a corresponding to a class code Ca are estimated as items of pixel data of HD signal. If DR
Abstract translation:本发明涉及一种用于处理信息信号等的装置,当将例如SD信号转换为HD信号时,能够很好地获得HD信号的像素数据,无论动态范围DR是大还是小。 检测到类别轻击中的DR。 如果DR> = Th,则通过使用系数数据项目对应的像素数据y 1-a 3 -y 4-a SUB>项目 将类代码Ca估计为HD信号的像素数据的项目。 如果DR
Abstract:
JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.
Abstract:
A data processing apparatus processes input data and outputs the processed data. The data processing apparatus includes a data processing section and a real-time learning section. The data processing section processes the input data by a predetermined processing method and outputs the processed data. The real-time learning section controls such that the processing method is learned in real time and the data processing section processes the input data by the learned processing method, so that the output data is improved as time elapses.