Abstract: For example, in order to enable an RCCB sensor or a specific optical system to perform an appropriate image correction process (distortion correction and the like), an imaging device includes an imaging element, an optical system configured to form an image on an imaging surface of the imaging element and has a characteristic in which an image formation magnification differs depending on a position in the imaging surface, a demosaic unit configured to generate color image data of at least two colors from the data output from the imaging element, and a distortion correction unit configured to correct distortion of the color image data of at least two colors generated by the demosaic unit.

Abstract: A distance measurement accuracy is improved without increasing power consumption of an image processing apparatus that performs distance-measuring processing. In one embodiment, an image processing apparatus for calculating distance information on an image has a reliability calculation unit 113 configured to calculate reliability in accordance with contrast for each pixel of the image and a distance calculation unit 116 configured to calculate distance information on each of the pixels based on reliability of each of the pixels. The distance calculation unit 116 calculates the distance information about a second pixel group whose reliability is lower than that of a first pixel group by using a collation area whose size is larger than a predetermined size in a range in which an amount of calculation in a case where a collation area of the predetermined size is used for all the pixels of the image is not exceeded.

Abstract: A distance measurement accuracy is improved without increasing power consumption of an image processing apparatus that performs distance-measuring processing. In one embodiment, an image processing apparatus for calculating distance information on an image has a reliability calculation unit 113 configured to calculate reliability in accordance with contrast for each pixel of the image and a distance calculation unit 116 configured to calculate distance information on each of the pixels based on reliability of each of the pixels. The distance calculation unit 116 calculates the distance information about a second pixel group whose reliability is lower than that of a first pixel group by using a collation area whose size is larger than a predetermined size in a range in which an amount of calculation in a case where a collation area of the predetermined size is used for all the pixels of the image is not exceeded.

Abstract: For example, in order to enable an RCCB sensor or a specific optical system to perform an appropriate image correction process (distortion correction and the like), an imaging device includes an imaging element, an optical system configured to form an image on an imaging surface of the imaging element and has a characteristic in which an image formation magnification differs depending on a position in the imaging surface, a demosaic unit configured to generate color image data of at least two colors from the data output from the imaging element, and a distortion correction unit configured to correct distortion of the color image data of at least two colors generated by the demosaic unit.

Abstract: A distance measurement accuracy is improved without increasing power consumption of an image processing apparatus that performs distance-measuring processing. In one embodiment, an image processing apparatus for calculating distance information on an image has a reliability calculation unit 113 configured to calculate reliability in accordance with contrast for each pixel of the image and a distance calculation unit 116 configured to calculate distance information on each of the pixels based on reliability of each of the pixels. The distance calculation unit 116 calculates the distance information about a second pixel group whose reliability is lower than that of a first pixel group by using a collation area whose size is larger than a predetermined size in a range in which an amount of calculation in a case where a collation area of the predetermined size is used for all the pixels of the image is not exceeded.

Abstract: It is required to carry out a tapping operation on a display screen to adjust the focus in a case where refocus process is performed in shifting to a reproduction mode, so that a user has to do an extra work. An image processing apparatus obtains a multi-view image data obtained by image-capturing in a plurality of viewpoints. A mode indicating information on a target to be focused is set. A combined image data focused on the target is generated by executing image processing to the multi-view image data based on the set mode.

Abstract: It is required to carry out a tapping operation on a display screen to adjust the focus in a case where refocus process is performed in shifting to a reproduction mode, so that a user has to do an extra work. An image processing apparatus obtains a multi-view image data obtained by image-capturing in a plurality of viewpoints. A mode indicating information on a target to be focused is set. A combined image data focused on the target is generated by executing image processing to the multi-view image data based on the set mode.

Abstract: It is required to carry out a tapping operation on a display screen to adjust the focus in a case where refocus process is performed in shifting to a reproduction mode, so that a user has to do an extra work. An image processing apparatus obtains a multi-view image data obtained by image-capturing in a plurality of viewpoints. A mode indicating information on a target to be focused is set. A combined image data focused on the target is generated by executing image processing to the multi-view image data based on the set mode.

Abstract: The performance of image processing is assured by executing region segmentation of an image at high speed. Pixels are classified into clusters conforming to a feature such as color. In a case where a suitable cluster for classifying a pixel is undefined, a new cluster is defined and the pixel is classified into this cluster. An upper-limit value on number of clusters is set prior to classification. If the number of clusters exceeds the upper-limit value, clusters already defined are merged. This limits an increase in the number of clusters.

Abstract: A bus arbitration apparatus according to this invention appropriately arbitrates bus rights of use between a plurality of masters and a plurality of slaves so as to efficiently perform requested data transfer. An arbiter A 5 receives data transfer requests with respect to a slave A 3 generated by masters A 1 and B 2. The arbiter A 5 cooperates with an arbiter B 4, and arbitrates a contention of the data transfer requests with respect to the slave A 3 generated by the masters A 1 and B 2.

Abstract: A bus arbitration apparatus according to this invention appropriately arbitrates bus rights of use between a plurality of masters and a plurality of slaves so as to efficiently perform requested data transfer. An arbiter A 5 receives data transfer requests with respect to a slave A 3 generated by masters A 1 and B 2. The arbiter A 5 cooperates with an arbiter B 4, and arbitrates a contention of the data transfer requests with respect to the slave A 3 generated by the masters A 1 and B 2.

Abstract: A bus arbitration apparatus according to this invention appropriately arbitrates bus rights of use between a plurality of masters and a plurality of slaves so as to efficiently perform requested data transfer. An arbiter A 5 receives data transfer requests with respect to a slave A 3 generated by masters A 1 and B 2. The arbiter A 5 cooperates with an arbiter B 4, and arbitrates a contention of the data transfer requests with respect to the slave A 3 generated by the masters A 1 and B 2.

Abstract: The performance of image processing is assured by executing region segmentation of an image at high speed. Pixels are classified into clusters conforming to a feature such as color. In a case where a suitable cluster for classifying a pixel is undefined, a new cluster is defined and the pixel is classified into this cluster. An upper-limit value on number of clusters is set prior to classification. If the number of clusters exceeds the upper-limit value, clusters already defined are merged. This limits an increase in the number of clusters.

Abstract: A bus arbitration apparatus according to this invention appropriately arbitrates bus rights of use between a plurality of masters and a plurality of slaves so as to efficiently perform requested data transfer. An arbiter A 5 receives data transfer requests with respect to a slave A 3 generated by masters A 1 and B 2. The arbiter A 5 cooperates with an arbiter B 4, and arbitrates a contention of the data transfer requests with respect to the slave A 3 generated by the masters A 1 and B 2.