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 image processing apparatus includes: an input image energy map generation unit generating an input image energy map from an input image; a reduced energy map generation unit generating a reduced energy map; a reduction seam search unit searching a reduction seam formed by binding pixels of a path along which a cumulative energy value of energies of pixels is minimum; a partial seam search unit searching a partial seam formed by binding pixels with a minimum cumulative value; an input image energy map update unit updating the input image energy map by inserting and replacing a maximum energy value into the energies corresponding to all of the pixels of the input image on the input image energy map; and a reduction expansion unit reducing or expanding the input image by deleting the pixels forming the partial seam from the input 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: 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, 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 apparatus includes: an edge intensity detecting unit configured to detect the edge intensity of an image in increments of blocks having a predetermined size; a parameter setting unit configured to set an edge reference value used for extraction of an edge point that is a pixel used for detection of the blurred degree of the image based on a dynamic range that is difference between the maximum value and the minimum value of the edge intensities; and an edge point extracting unit configured to extract a pixel as the edge point with the edge intensity being equal to or greater than the edge reference value, and also the pixel value of a pixel within a block being included in an edge block that is a block within a predetermined range.

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.