Abstract: A recording device includes an image acquiring section which acquires 3D image data, a filming condition acquiring section which acquires filming condition information indicating filming conditions during filming of the 3D image data, and a recording controlling section which causes a recording medium to record the 3D image data and the filming condition information by making the data and the information correspond to each other.

Abstract: Provided is a three-dimensional image generating device including: a depth setting portion configured to set a depth of each pixel or pixel group of a two-dimensional image, from which a stereoscopic view image is formed, from depth-degree information indicating a depth degree of each pixel or pixel group of the two-dimensional image; a coordinate calculating portion configured to calculate coordinates of a left eye image and a right eye image of a three-dimensional image on a display plane corresponding to each pixel or pixel group of the two-dimensional image from the depth and a distance from the display plane to a viewing position; and an image generating portion configured to generate the left eye image and the right eye image corresponding to the two-dimensional image according to the calculated coordinates.

Abstract: The present invention relates to a data structure, a reproducing apparatus, a reproducing method, and a program which are applicable to various types of display and which facilitates signal processing performed in the displays. In a 3D video format according to the present invention, a base signal BS of a side-by-side image SbSP and an optional signal OS of a sub-image SuP obtained by collectively arranging three images described below regarding an L image LP of the side-by-side image SbSP are used. That is, the sub-image SuP includes a Depth image of the L image, an image hidden behind an object included in the L image, and a Depth image of the mage hidden behind the object. The present invention is applicable to 3D displays.

Abstract: A image processing apparatus includes a first image converting section for converting an original image into an output resolution image, a second image converting section for converting the original image into an intermediate resolution image, a similarity information generating section for detecting a plurality of similar areas, in a block in the intermediate resolution image corresponding to a predetermined partial area in the output resolution image, that resemble the partial area, and for generating similarity information including a position of each of the plurality of similar areas in the intermediate resolution image and a weight of the position, a texture generating section for generating a texture image by combining high-frequency components of the intermediate resolution image at the position according to the weight, and a texture blending section for blending the output resolution image and the texture image to generate output image.

Abstract: A image processing apparatus includes a first image converting section for converting an original image into an output resolution image, a second image converting section for converting the original image into an intermediate resolution image, a similarity information generating section for detecting a plurality of similar areas, in a block in the intermediate resolution image corresponding to a predetermined partial area in the output resolution image, that resemble the partial area, and for generating similarity information including a position of each of the plurality of similar areas in the intermediate resolution image and a weight of the position, a texture generating section for generating a texture image by combining high-frequency components of the intermediate resolution image at the position according to the weight, and a texture blending section for blending the output resolution image and the texture image to generate output image.

Abstract: An image processing apparatus for processing input-image data to output output-image data. The apparatus includes a plurality of image processing units operable to detect an edge-gradient direction having a largest gradient of a pixel value and an edge direction orthogonal to the edge-gradient direction for each pixel of the input-image data, to perform edge-enhancement processing on the input-image data in the edge-gradient direction, and to perform smoothing processing on the input-image data in the edge direction; and an integration unit operable to integrate the image data output from the plurality of image processing units to generate the output-image data. The plurality of image processing units have different characteristics set for use with detecting the edge-gradient direction and the edge direction.

Abstract: Influences of physiological stereoscopic elements are removed by image processing using projection transformation. A horopter-plane image projection unit 311 is designed to project a non-stereo image supplied via a signal line 129 onto a cylindrical plane (horopter plane) including a horopter circle. The size of the horopter circle is specified using, for example, the radius as horopter circle information. Additionally, the relationship with two eyes is specified by the interocular distance. A display surface right-eye projection unit 316 is designed to project an image projected on the horopter plane onto a display surface for the right eye. A display surface left-eye projection unit 317 is designed to project the image projected on the horopter plane onto a display surface for the left eye. Therefore, retinal images that are identical to each other are supplied to the two eyes to remove influences of physiological stereoscopic elements, and stereoscopic depth is given.

Abstract: The present invention relates to an image processing apparatus, an image processing method, a program of the image processing method, and a recording medium having the program of the image processing method recorded thereon, and the present invention is applied to, for example, a display apparatus and improves the textures of details compared with the past. The present invention extracts a texture component S4 from an input image S1, reduces the texture component S4 to generate a subtle texture component S3, and performs image combination of this subtle texture component S3 and the input image S1.

Abstract: In an image pickup apparatus, a level compensator compensates the level of an image xL (i, j) sensed by an image sensor by exposure for a long time on the basis of the exposure of the image to produce a compensated image xL? (i, j), while another level compensator compensates the level of an image xS (i, j) sensed by the image sensor by exposure for a short time on the basis of the exposure of the image to produce a compensated image xS? (i, j). The image pickup apparatus also includes an image synthesizer to synthesize these compensates images xL? (i, j) and xS? (i, j) to produce a single synthetic image x (i, j). A dynamic range compressor also included in the image pickup apparatus compresses the synthetic image x (i, j) to produce a compressed image y (i, j) for delivery to outside.

Abstract: An image processing apparatus includes: means for extracting, for each pixel of an image, a high-frequency component as focus information from a brightness signal for a neighboring pixel; means for integrating, for each pixel, the focus information on the neighboring pixel; means for replacing the focus information on each pixel with a value obtained using the focus information on the neighboring pixel greater than the focus information on that pixel to generate dark area focus information; means for integrating the brightness signals of each pixel and the neighboring pixel to extract an illumination component; means for calculating a depth value of each pixel using a coefficient based on the illumination component; means for normalizing the depth value of each pixel; means for controlling the normalized depth value using a tone curve; means for detecting a saturation of each pixel; and means for controlling the controlled depth value using the saturation.

Abstract: An image processing apparatus includes a depth value detecting unit configured to detect depth values of individual pixels of an input image; an integrating unit configured to integrate the depth values in each predetermined region of the input image; an analyzing unit configured to analyze the tendency of an integrated result of the depth values in each predetermined region of the input image; and a processing unit configured to process the input image on the basis of an analysis result obtained by the analyzing unit.

Abstract: An image processing apparatus for performing a tracking of a moving object by setting a tracking area corresponding to a moving object appearing in a video image, by setting a plurality of feature points in the tracking area, and by tracking the plurality of feature points, comprises a tracking processing unit for tracking each of the plurality of feature points from the preceding frame to the present frame, and a motion calculation processing unit for specifying a position of the tracking area in the present frame by estimating the motion of the tracking area based the tracking result of each of the feature points, wherein the tracking processing unit calculates reliability indicating the height of the possibility that a feature point exists in the moving object to each of the feature points, and the motion calculation processing unit calculates the motion of the tracking area by using the reliability.

Abstract: The invention provides an image processing apparatus and an image processing method. An area to which image data belongs is discriminated, and a correction coefficient to be used for correction of a pixel value of the image data is produced based on a result of the discrimination. Then, the pixel value of the image data is corrected with the correction coefficient. The relationship in magnitude among pixel values in the same area is maintained because the same coefficient is used, but pixel values which belong to different areas can be varied or even reversed. This allows the gradation of an entire image to be corrected while preventing partial deterioration of the contrast.

Abstract: The present invention is applied, for example, to resolution conversion. An edge gradient direction v1 with the largest gradient of pixel values and an edge direction v2 orthogonal to the edge gradient direction v1 are detected. Edge enhancement and smoothing processing are performed in the edge gradient direction v1 and in the edge direction v2, respectively, to generate output image data D2.

Abstract: The invention provides an image processing apparatus and an image processing method. An area to which image data belongs is discriminated, and a correction coefficient to be used for correction of a pixel value of the image data is produced based on a result of the discrimination. Then, the pixel value of the image data is corrected with the correction coefficient. The relationship in magnitude among pixel values in the same area is maintained because the same coefficient is used, but pixel values which belong to different areas can be varied or even reversed. This allows the gradation of an entire image to be corrected while preventing partial deterioration of the contrast.

Abstract: An image processing apparatus processes an input image while also considering the luminous intensity information thereof, and thereby generates an output image wherein the apparent object surface roughness has been enhanced with respect to the input image. The image processing apparatus includes a luminous intensity information separator that separates the input image information into global luminous intensity information and local luminous intensity information, a shadow component generator that generates a shadow component of the image on the basis of the local luminous intensity information, and an image compositor that generates an output image by adding shadow image information to the input image information, with the shadow image information being generated from the shadow component and from a value based on the input image information.

Abstract: There is provided an image determining device including a frequency band signal detecting unit for dividing an image into a plurality of local regions and detecting for each local region signals of a plurality of frequency bands from the image signal; an average value calculating unit for calculating an average value of a characteristic value corresponding to an amplitude, for each local region and for each signal of the plurality of frequency bands; a local region selecting unit for selecting at least one local region based on image information; an average value selecting unit for selecting the average value corresponding to the selected local region; a relative value calculating unit for calculating a relative value of one average value with respect to another average value both of the average values being of the selected average values; and an image determining unit for determining an image based on the relative value.

Abstract: Provided is a video signal processing method of measuring a noise level of an input video signal, the method including the steps of: setting a plurality of areas in the input video signal and extracting a characteristic amount which is an index of the noise level of the input video signal for each area; detecting characteristic amounts suitable to a measurement of the noise level from among the characteristic amounts of the plurality of areas; and creating a histogram by using the detected characteristic amounts suitable to the measurement of the noise level and detecting the noise level by analyzing the histogram.

Abstract: A video signal processing method includes the steps of processing an input video signal and outputting an output video signal, detecting a temporal feature from the input video signal, smoothing the temporal feature by filtering and outputting the smoothed temporal feature, and controlling processing performed in the processing step in accordance with the temporal feature smoothed in the smoothing step. In this method, the smoothing step switches a characteristic of the filtering in accordance with the attribute of the input video signal.

Abstract: The invention provides an image processing apparatus and an image processing method. An area to which image data belongs is discriminated, and a correction coefficient to be used for correction of a pixel value of the image data is produced based on a result of the discrimination. Then, the pixel value of the image data is corrected with the correction coefficient. The relationship in magnitude among pixel values in the same area is maintained because the same coefficient is used, but pixel values which belong to different areas can be varied or even reversed. This allows the gradation of an entire image to be corrected while preventing partial deterioration of the contrast.