Abstract: The present invention relates to an image processing apparatus and method, and a program that are capable of displaying images more easily and effectively. A degree-of-blur detecting unit 21 detects the degree of blur of an input image. The selecting unit 22 selects an image processing operation to be performed on the input image on the basis of a detection result of the degree of blur, and supplies the input image to a block that performs the selected image processing operation among a comic-style conversion unit 23 to a sharpness processing unit 28. The block supplied with the input image among the comic-style conversion unit 23 to the sharpness processing unit 28 performs the image processing operation on the input image and outputs it to an output unit 29. The present invention can be applied to an image processing apparatus.

Abstract: The present technique relates to an image processing device, an image processing method, a program, and a recording medium that enable more accurate block noise correction without degradation of image quality. A motion predicting unit detects, from a criteria image and a reference image, the motion vector of each of blocks constituting an image. A motion compensating unit generates a motion-compensated image by performing motion compensation on the reference image, using the motion vectors. A correction value calculating unit calculates a correction value for correcting the pixel value of a current pixel in a current block in the motion-compensated image based on a boundary difference value between the criteria image and the motion-compensated image, the boundary difference value being a difference value with respect to the pixel value of a boundary pixel in a boundary portion adjacent to an adjacent block in the current block.

Abstract: An amplification detection unit detects an amplification of a motion of an image in a motion correction with respect to the motion of the image generated by the motion, according to motion information which indicates a motion detection result and a frame rate of the image. An information suppressing unit suppresses the motion indicated by the motion information based on the detection result of the amplification detection unit such that the motion of the image is not amplified in the motion correction, and generates corrected motion information used in the motion correction.

Abstract: There is provided an image processing apparatus including a local-motion-compensation-processing unit which generates a local-motion-compensation image by detecting a local motion vector, which is a motion vector for each block forming an image, from a standard image and a reference image, and performing motion compensation on the reference image using the local motion vector, a global-motion-compensation-processing unit which generates a global-motion-compensation image by calculating a global motion vector, which is a motion vector for an entire image between the standard image and the reference image, using the local motion vector, and performing motion compensation on the reference image using the global motion vector, and a blend processing unit which generates a blend-motion-compensation image by combining a pixel value of a pixel in the local-motion-compensation image and a pixel value of a pixel in the global-motion-compensation image based on a noise intensity for a luminance value of an image.

Abstract: An apparatus for improving the quality of a captured image may include a first computing unit, a second computing unit, and an advice generating unit. The first computing unit may be configured to compute a first value representing a first aspect of the quality of a first image. The second computing unit may be configured to compute a second value representing a second aspect of the quality of the first image. The advice generating unit may be configured to generate advice for capturing a second image based on at least one of the first and second computed values.

Abstract: The present invention relates to an image processing apparatus and method, and a program that are capable of more appropriately evaluating the image-capture state of an image. A blur degree score calculation unit 23 through to a chroma score calculation unit 27 extract a feature quantity of a pre-specified feature from an input image, and calculate a feature-by-feature score indicating an evaluation for the input image on the basis of the feature. For example, the luminance score calculation unit 24 extracts, as a feature quantity, a luminance value from the input image, and calculates a luminance score indicating an evaluation based on the distribution of the luminance values in the subject portion of the input image. The overall score calculation unit 28 calculates an overall score indicating the evaluation of the image-capture state of the input image from each feature-by-feature score.

Abstract: The present invention relates to an image processing apparatus and method, and a program that are capable of more easily identifying an area of a subject in an image. A luminance information extraction unit 21 through to a motion information extraction unit 25 extract predetermined information from an input image and create an information map indicating feature quantities of features possessed by an area of a subject of the input image. Furthermore, the luminance information extraction unit 21 through to the motion information extraction unit 25 subtract an average value of the pixel values of the pixels of the entire information map from the pixel value of each pixel of the created information map so as to normalize the information map. As a result, the information map can be normalized, and noise can be removed with a simple process when compared to a case in which the information map is normalized using a DOG filter.

Abstract: The present invention relates to an image processing apparatus and method, and a program that make it possible to more accurately specify a photographic subject in an image. A photographic subject map generating unit 21 generates, based on an input image, a photographic subject map indicating the likeliness of each region of the input image being a region of a photographic subject. A gradient map generating unit 22 generates a gradient map indicating the degree of change of the likeliness of the photographic subject map being a photographic subject. A threshold processing unit 23 and a threshold processing unit 24 binarize the gradient map using a high threshold THh and a low threshold TH1, and obtain threshold maps.

Abstract: The present invention relates to an image processing apparatus and method, a learning apparatus and method, and a program which allow reliable evaluation of whether or not the subject appears sharp. A subject extraction unit 21 uses an input image to generate a subject map representing a region including the subject in the input image, and supplies the subject map to a determination unit 22. The determination unit 22 uses the input image and the subject map from the subject extraction unit 21 to determine the blur extent of the region of the subject on the input image, and calculates the score of the input image on the basis of the blur extent. This score is regarded as an index for evaluating the degree to which the subject appears sharp in the input image. The present invention can be applied to an image capture apparatus.

Abstract: An image processing device includes a subject region detector that detects a subject region from an input image; a cutting unit that cuts an image of the subject region from the input image; a priority calculator that calculates a priority of each of predetermined regions on a boundary with respect to the subject region, for the input image; a retrieval unit that retrieves a region similar to an image of a predetermined region with a top priority from among the priorities, from the input image after the image of the subject region is cut; a recovery unit that recovers the subject region by copying an image of an adjacent region that is adjacent to the region similar to the predetermined region retrieved by the retrieval unit and includes a region corresponding to a region cut as the subject region, and by pasting the image obtained by copying onto the region that is adjacent to the predetermined region with the top priority and cut as the subject region; and a composition unit that combines the image of the s

Abstract: There is provided an image processing apparatus including a local-motion-compensation-processing unit which generates a local-motion-compensation image by detecting a local motion vector, which is a motion vector for each block forming an image, from a standard image and a reference image, and performing motion compensation on the reference image using the local motion vector, a global-motion-compensation-processing unit which generates a global-motion-compensation image by calculating a global motion vector, which is a motion vector for an entire image between the standard image and the reference image, using the local motion vector, and performing motion compensation on the reference image using the global motion vector, and a blend processing unit which generates a blend-motion-compensation image by combining a pixel value of a pixel in the local-motion-compensation image and a pixel value of a pixel in the global-motion-compensation image based on a noise intensity for a luminance value of an image.

Abstract: An image processing apparatus includes a motion estimation processing section that detects a motion vector of block units which configure an image from a standard image and a reference image; a motion compensation processing section that produces a motion compensation image by performing motion compensation of the reference image using the motion vector; a difference calculation section that calculates a difference value between pixel values of a pixels of the standard image and pixel values of pixels of the motion compensation image; and a threshold value processing section that determines whether block noise is contained in the motion compensation image of a block unit or not by performing a threshold value processing on the difference value.

Abstract: An image processing apparatus includes: a subject region detection unit detecting regions of subjects included in an input image; a cropped region setting unit setting a region including all of the regions of the detected subjects as a cropped region; an expansion region addition unit adding an expansion region to expand an end of the cropped region only by a predetermined width; a cutting unit cutting a cut image formed from a cut region including the cropped region and the expansion region from the input image; a subject adaptation size change unit changing a size of an image formed from the cut region by deleting a region where an influence on the subjects is small in the cut image; and an entire image size changing unit changing the size of the entire image changed in size by the subject adaptation size change unit at a predetermined ratio.

Abstract: An edge map creation unit detects an edge intensity of an input image in units of three types of blocks having different sizes. An operation parameter adjustment unit sets initial values of an edge reference value and an extraction reference value on the basis of a dynamic range which is a difference between the maximum and minimum values of the edge intensity. An edge point extraction unit extracts an edge point from the input image on the basis of the edge reference value. Until an extraction amount determination unit determines that the edge point extraction amount is appropriate on the basis of the extraction reference value, the operation parameter adjustment unit repeatedly performs a processing of adjusting the edge reference value, and the edge point extraction unit repeatedly performs a processing of extracting the edge point from the input image on the basis of the adjusted edge reference value.

Abstract: A photographing apparatus is provided, which includes: a correction data acquiring section that acquires correction data for image correction; a recording section that records the correction data acquired by the correction data acquiring section; a photographing condition acquiring section that acquires image photographing conditions; a retrieving section that retrieves the correction data, corresponding to the photographing conditions acquired by the photographing condition acquiring section, from the correction data recorded in the recording section; and a photographing section that photographs an image on the basis of the correction data retrieved by the retrieving section.

Abstract: The present invention relates to an image processing apparatus and method, and a program that are capable of more easily identifying an area of a subject in an image. A luminance information extraction unit 21 through to a motion information extraction unit 25 extract predetermined information from an input image and create an information map indicating feature quantities of features possessed by an area of a subject of the input image. Furthermore, the luminance information extraction unit 21 through to the motion information extraction unit 25 subtract an average value of the pixel values of the pixels of the entire information map from the pixel value of each pixel of the created information map so as to normalize the information map. As a result, the information map can be normalized, and noise can be removed with a simple process when compared to a case in which the information map is normalized using a DOG filter.

Abstract: The present invention relates to an image processing apparatus and method, and a program that are capable of more appropriately evaluating the image-capture state of an image. A blur degree score calculation unit 23 through to a chroma score calculation unit 27 extract a feature quantity of a pre-specified feature from an input image, and calculate a feature-by-feature score indicating an evaluation for the input image on the basis of the feature. For example, the luminance score calculation unit 24 extracts, as a feature quantity, a luminance value from the input image, and calculates a luminance score indicating an evaluation based on the distribution of the luminance values in the subject portion of the input image. The overall score calculation unit 28 calculates an overall score indicating the evaluation of the image-capture state of the input image from each feature-by-feature score.

Abstract: The present invention relates to an image processing apparatus and method, and a program that make it possible to more accurately specify a photographic subject in an image. A photographic subject map generating unit 21 generates, based on an input image, a photographic subject map indicating the likeliness of each region of the input image being a region of a photographic subject. A gradient map generating unit 22 generates a gradient map indicating the degree of change of the likeliness of the photographic subject map being a photographic subject. A threshold processing unit 23 and a threshold processing unit 24 binarize the gradient map using a high threshold THh and a low threshold TH1, and obtain threshold maps.

Abstract: The present invention relates to an image processing apparatus and method, and a program that are capable of displaying images more easily and effectively. A degree-of-blur detecting unit 21 detects the degree of blur of an input image. The selecting unit 22 selects an image processing operation to be performed on the input image on the basis of a detection result of the degree of blur, and supplies the input image to a block that performs the selected image processing operation among a comic-style conversion unit 23 to a sharpness processing unit 28. The block supplied with the input image among the comic-style conversion unit 23 to the sharpness processing unit 28 performs the image processing operation on the input image and outputs it to an output unit 29. The present invention can be applied to an image processing apparatus.

Abstract: An image processing device includes a subject region detector that detects a subject region from an input image; a cutting unit that cuts an image of the subject region from the input image; a priority calculator that calculates a priority of each of predetermined regions on a boundary with respect to the subject region, for the input image; a retrieval unit that retrieves a region similar to an image of a predetermined region with a top priority from among the priorities, from the input image after the image of the subject region is cut; a recovery unit that recovers the subject region by copying an image of an adjacent region that is adjacent to the region similar to the predetermined region retrieved by the retrieval unit and includes a region corresponding to a region cut as the subject region, and by pasting the image obtained by copying onto the region that is adjacent to the predetermined region with the top priority and cut as the subject region; and a composition unit that combines the image of the s