The present technology relates to an image processing apparatus and an image processing method, and particularly to an image processing apparatus and an image processing method capable of suppressing an increase in a load on a subject and obtaining a captured image of the subject with higher image quality.

An imaging unit reduces a light amount and performs a plurality of imagings of the fundus of the eye so as to generate a plurality of fundus images. A biological information alignment processing unit aligns the fundus images by using biological information of a subject. A super-resolution processing unit superimposes an aligned input image on a previous super-resolution result image so as to generate a new super-resolution result image. The super-resolution processing unit stores or outputs the super-resolution result image in a storage unit or from an output unit, and supplies the super-resolution result image to a super-resolution result image buffer so as to be stored. The present technology may be applied to, for example, an image processing apparatus.

A reading method guidance apparatus includes a receiving unit, an acquisition unit, and a guidance unit. The receiving unit receives a document size that is a size of a document as a reading target. The acquisition unit acquires an image of at least a partial area in the document. The guidance unit provides an operator with guidance about a reading procedure when the document is read by a first reading apparatus in plural batches, using a feature amount obtained from the acquired image, the received document size, and a readable size that is a size of an area readable by the first reading apparatus.

The present technology relates to an image processing apparatus and an image processing method capable of suppressing an increase in a load on a subject and obtaining a captured image of the subject with higher image quality. An imaging unit reduces a light amount and performs imaging of the fundus of the eye so as to generate a plurality of fundus images. A biological information alignment processing unit aligns fundus images by using biological information of a subject. A super-resolution processing unit superimposes an aligned input image on a previous super-resolution result image so as to generate a new super-resolution result image. The super-resolution processing unit stores or outputs the super-resolution result image in a storage unit or from an output unit, and supplies the super-resolution result image to a super-resolution result image buffer so as to be stored.

A document size detecting apparatus includes a first acquisition unit, a second acquisition unit, and a detector. The first acquisition unit acquires a first image that is an image of an entire document as a reading target. The second acquisition unit acquires a second image that is an image of a part of the document read by a first reading apparatus. The detector detects a size of the document using a result of a matching process between the first image and the second image and a read size that is a size of the second image read by the first reading apparatus.

An image processing apparatus capable of performing pixel synthesis processing at high speed. Synthesis processing of a first object and a second object is performed for an area where the first object and the second object overlap each other. A first image formation processor stores first pixel data, which corresponds to the area, of pixel data of the first object, in a first communication memory and stores second pixel data, which corresponds to the area, of pixel data of the second object, in a second communication memory. A second image formation processor acquires the first and second pixel data from the first and second communication memories, respectively, and performs synthesis processing of the acquired first and second pixel data.

An image reading apparatus includes a first sensor, a second sensor, a third sensor, a first processor that generates a first merge image based on first image data acquired by reading by the first sensor and second image data acquired by reading by the second sensor, and a second processor that generates a second merge image based on the second image data and third image data acquired by reading by the third sensor, and generates an output image by performing a linking process on the first merge image and the second merge image.

An image reading apparatus includes a first sensor, a second sensor, a third sensor, a first processor that generates a first merge image based on first image data acquired by reading by the first sensor and second image data acquired by reading by the second sensor, and a second processor that generates a second merge image based on the second image data and third image data acquired by reading by the third sensor, and generates an output image by performing a linking process on the first merge image and the second merge image.

There is provided a scanner that combines images read by a first sensor array and a second sensor array, in which the first sensor array and the second sensor array have read regions which are overlapped partially, and includes a combining section that combines a first read image read by the first sensor array and a second read image read by the second sensor array and a correction section that corrects an image after a combining based on a degree of displacement of a reading position of the document.

Example implementations relate to scan bar calibration. For example, a system for scan bar calibration may include instructions executable by a processing resource to implement a plurality of scanning settings at a scan bar index location of a scanning device. The system may further include instructions to execute a scan bar calibration of a calibration target at the scan bar index location, and generate a scan bar calibration table for the scan bar index location based on the executed scan bar calibration.

A method, and document scanner system, for correcting image values recorded by an optical document scanner with multiple color cameras arranged in a staggered configuration with overlap scan areas includes storing color correction values mapped to respective color index values, where a color correction value is computed from a color difference between a first color value and a second color value of the respective overlap sets, and correcting a third color value which is a color value from the second set of color image values by a color correction value which is looked up via a color index value determined from the third color value. Thereby color variations among staggered cameras are corrected.