Sony Corporation

Katsuhisa Shinmei

Tetsujiro Kondo

Hiroshi Yamamoto

Shingo Nagataki

Kenji Wajima

Hisakazu Shiraki

Akihiro Okumura

Yasunobu Node

Takashi Nakamura

Takao Inoue

Hideo Nakaya

Noriaki Takahashi

Takashi Sawao

Koji Yano

Masaru Ikeda

Kazunori Yamaguchi

Takeshi Miyai

Toshinobu Sugiyama

Gakuho Fukushi

Tsutomu Ichikawa

Nobuyuki Yamaguchi

There is provided an imaging device including a recorded image signal exposure information corrector that, on the basis of information related to different exposure times, corrects a recorded image signal recorded with the different exposure times, a mixing coefficient calculator that calculates a mixing coefficient used for mixing the corrected recorded image signal with a mixed image signal, in which recorded image signals recorded with the different exposure times are mixed, retrieved from a storage unit that saves the mixed image signal, and a mixer that outputs the mixed image signal in which the mixed image signal retrieved from the storage unit and the corrected recorded image signal are mixed on the basis of the mixing coefficients, and writes the mixed image signal to the storage unit.

Imaging device, image signal processing method, and program

A camera system, image processing method and computer program stored on a computer readable medium for image processing. Long and short accumulation images with longer and shorter exposure times are respectively obtained from one field. First and second long accumulation evaluation values are computed from the long accumulation image. A short accumulation evaluation value is computed from the short accumulation image. A short accumulation target exposure time and short accumulation exposure control information are acquired from the short accumulation evaluation value and a first target level. A long accumulation evaluation value is acquired by synthesizing the first and second long accumulation evaluation values. Long accumulation exposure control information is acquired from the long accumulation evaluation value and a second target level. An image is generated from the long accumulation image and the short accumulation image.

Imaging processing apparatus, camera system, image processing method, and program

Disclosed herein is an image processing apparatus including a synthesizing processing section configured to synthesize a plurality of images taken at different exposure times wherein, in processing to synthesize the taken images, the synthesizing processing section acquires a taken-image blending ratio varying in accordance with components selected from the taken images and carries out a blending process on a blend area in which pixels of the taken images are to be blended by applying the blending ratio to the blend area.

Image processing apparatus, image taking apparatus, image processing method and image processing program having movement determination

Disclosed herein is an image processing apparatus including a color-flicker detection processing section configured to detect generation of color flickers from a plurality of images taken at different exposure times, wherein the color-flicker detection processing section: acquires a ratio of any specific one of a plurality of color signals of the taken images to another one of the color signals; obtains an evaluation value of the color flickers from the acquired ratio; and determines whether or not the color flickers have been generated on the basis of the magnitude of the evaluation value.

Image processing apparatus for detecting a color flicker in an image

An image processing apparatus includes: an image sensor outputting at least long and short accumulation images with longer and shorter exposure times, respectively, in one field; first and second long accumulation evaluation value computation units computing first and second long accumulation evaluation values from the long accumulation image; a short accumulation evaluation value computation unit computing a short accumulation evaluation value from the short accumulation image; a short accumulation exposure control unit acquiring a short accumulation target exposure time and short accumulation exposure control information from the short accumulation evaluation value and a first target level; a long accumulation evaluation value synthesis unit acquiring a long accumulation evaluation value by synthesizing the first long accumulation evaluation value and the second long accumulation evaluation value; a long accumulation exposure control unit acquiring long accumulation exposure control information from the long accumulation evaluation value and a second target level; and a synthesis unit generating one image from the long accumulation image and the short accumulation image.

An information processing apparatus includes an image taking means for taking images of a subject, a class-classification means for classifying a first image outputted by the image taking means into a class according to a characteristics thereof, a storage means for storing plural coefficient memories having different image taking conditions at the time of image taking, which store prediction coefficients according to the class acquired by learning, a designation means for designating one coefficient memory from among the plural coefficient memories based on the image taking condition when the image was taken by the image taking means, and a calculation means for calculating a second image in which noise is removed from the first image by calculating a prediction coefficient of the class of the first image, which is in the designated coefficient memory.

Information processing apparatus, information processing method, learning apparatus and learning method and program

An image processing apparatus executes image processing on an original image. The image processing apparatus includes a display unit configured to display adjusting images each corresponding to a part or the entirety of the original image; a setting unit allowing setting of values of parameters defining respective degrees of the image processing for the adjusting images such that the values differ among the adjusting images; and an operating unit allowing specification of one of the adjusting images by an external operation. When one of the adjusting images is specified using the operating unit, the setting unit modifies the values of the parameters defining the respective degrees of the image processing for the other adjusting images so that the values for the other adjusting images are approximated to the values for the specified adjusting image. The display unit displays the adjusting images according to the respective modified degrees of the image processing.

Image processing apparatus and image processing method

A class code of a subject pixel of an HD signal is obtained from pixel data of a class tap extracted from an SD signal. In a memory bank, coefficient data for a generating equation, including parameters for adjusting image quality, for generating elements of a summation matrix for obtaining coefficient data for an estimate equation are stored on a class basis. A summation matrix is generated in accordance with the coefficient data stored in the memory bank and the values of the parameters as specified by a user operation, generating coefficient data for the estimate equation for each class in accordance with the values of the parameters, which is stored in a memory. A calculation circuit calculates pixel data of the subject pixel of the HD signal by the estimate equation from pixel data of the prediction tap extracted from the SD signal and from coefficient data associated with the class code, supplied from the memory.

Apparatus and method for generating coefficient data, apparatus and method for processing information signal using the same, apparatus and method for obtaining coefficient data used therefor, and information providing medium

A motion information output portion acquires horizontal motion information concerning a line where the telop is present. From a signal of the current frame and motion-compensated signal components of frames which are present before and after the current frame. A decision information acquisition portion and a binarizing processing portion obtains a flag indicating whether each pixel of a screen is pixel at edge position of the telop. Based on this flag, an edge pixel extraction portion extracts pixel data of the edge position. A histogram processing portion uses this pixel data as a material to create a histogram for each item of data, thereby determining values of the pixel data corresponding to the telop from a class having a largest frequency. An extraction region selection portion obtains another flag indicating a line where the telop is present. An extraction portion extracts pixel data corresponding to the telop.

Apparatus and method for extracting artificial images and program for performing the method

A picture processing apparatus for generating an output picture signal with higher quality than the input picture signal. A first signal processor has a storage device for storing a picture signal with the same quality as the output picture signal. The input picture signal and the stored picture signal are added to generate a first picture signal with higher quality than the input picture, which is stored in the storage device. A second signal processor performs a class categorizing adaptive process by extracting a feature of the input picture signal corresponding to the position of a considered pixel of the output picture signal, categorizing the considered pixel as one of a plurality of classes corresponding to the feature, and calculating the input picture signal using a predetermined calculating method corresponding to the categorized class, thereby generating a second picture signal with higher quality than the input picture signal. One of the first and second picture signals is selected as the output picture signal.

Image processing system, image processing method, program, and recording medium

A storage picture generating unit () weight-adds an input picture and a storage picture to reduce the noise in a still picture portion. An area extraction unit () extracts a class tap from the input picture, while extracting a block from each of the input picture and the storage picture. A feature value detection unit () detects the dynamic range and the results of the waveform analysis from the class tap, while detecting the still/moving information of the subject pixel from the block. A class code detection unit () generates a class code which is based on the feature value. A table () outputs to an estimation calculating unit () sets of the prediction coefficients held by the table and which are associated with the class code. An area extraction unit () extracts prediction taps from the input picture and the storage picture. Using the sets of the prediction coefficients and the pixel information from the area extraction unit (), the estimation calculating unit () sequentially generates pixel values y of an output picture.

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Kanagawa, Japan

Katsuhisa Shinmei