An algorithm for performing super-resolution splits an input image or video into patches and relies on image self-similarity, wherein similar patches are searched in different downscaled versions of an image, using Approximate Nearest-Neighbor Fields (ANNF). The goal of ANNF is to locate with a minimal number of search iterations for each patch of a source image the k most similar patches in a downscaled version of the source image or video. A method for generating an ANNF for images of an input video comprises generating a plurality of downscaled versions of the images of the input video at different scales, generating an Inverse ANNF (IANNF) for the input video by finding for each patch of the downscaled images similar patches in the input video, generating an ANNF for the input video by reversing the IANNF, and filling gaps in the ANNF by random search.

An information processing device according to the present invention includes: a proper identifier output unit which outputs proper identifiers for identifying learning images; a feature vector calculation unit which calculates feature vectors of at least a part of patches included in registered patches that are registered in a dictionary for compositing a restored image; and a search similarity calculation unit which calculates a similarity calculation method that classifies the proper identifiers to be given to the registered patches based on the feature vectors.

There is provided at least one image processing apparatus capable of precisely reproducing a large blur similar to a background blur produced by a single-lens reflex camera, while suppressing a circuit scale for filter processing. A two-dimensional filter processing circuit of at least one embodiment of an image processing unit performs the filter processing using first to N-th division filters each having a plurality of filter coefficients (where N is an integer of 2 or more) on an input image to generate first to N-th intermediate images. A combination unit of the at least one embodiment of the image processing unit combines or adds together the first to N-th intermediate images generated by the two-dimensional filter processing circuit to generate an integrated image. Thus, a large blur similar to a background blur produced by the single-lens reflex camera can be precisely reproduced by small-size two-dimensional filter processing.

A facility for initiating a purchase is described. The facility receives a text sequence captured by a user from a rendered document using a handheld text capture device. The facility identifies in the received text sequence a reference to a distinguished product. In response to identifying the reference, the facility presents to the user an opportunity to place an order for the established product. If the user accepts the presented opportunity to order the distinct product, the facility orders the distinct product on behalf of the user.

A non-local means method is insufficient in its noise reduction effect or edge retainability due to a perfect match between blocks in a case where a reference pixel matches a target pixel. Therefore, information on a target region and plural reference regions is obtained for the target pixel. Whether the target region matches any one of the reference regions is determined from the obtained information. Switching between weight derivation methods based on similarity between the target region and the reference region is performed according to a determined result.

In various example embodiments, a system and method for using machine learning to define user controls for image adjustment is provided. In example embodiments, a new image to be adjusted is received. A weight is applied to reference images of a reference dataset based on a comparison of content of the new image to the reference image of the reference dataset. A plurality of basis styles is generated by applying weighted averages of adjustment parameters corresponding to the weighted reference images to the new image. Each of the plurality of basis styles comprises a version of the new image with an adjustment of at least one image control based on the weighted averages of the adjustment parameters of the reference dataset. The plurality of basis styles is provided to a user interface of a display device.

A flow meter includes an image sensor and a processor. The image sensor is configured to capture an image of a drip chamber. The processor is configured to determine whether the captured image of the drip chamber contains a match to a template, and to apply a blurring function to the image captured by the image sensor of the drip chamber such that the processor can determine if the captured image contains a match to the template.

A flow meter includes a first image sensor, a background pattern, and at least one processor. The first image sensor has a first field of view and is positioned to view a drip chamber within the first field of view. The background pattern is positioned within the field of view of the first image sensor, and the background pattern includes first and second portions. The processor is operatively coupled to the first image sensor and configured to: receive a first image from the first image sensor, and estimate at least one parameter of liquid within the drip chamber in accordance with a distortion of the background pattern caused by the liquid as indicated by the first image.

An image acquisition apparatus includes a fiber optic member including optical fibers, and transmitting an optical image from an input end face to an output end face, an imaging device including pixels, imaging the optical image from the output end face, and outputting an image, and an image processing device performing flat field correction of a fixed pattern noise for the image from the imaging device. The image processing device sets a first switching point of the correction on the basis of a noise peak point, performs the flat field correction in a case where output intensity from an object pixel of the image is lower than first switching intensity at the first switching point, and does not perform the correction in a case where the output intensity is higher than the first switching intensity.

An apparatus includes an input circuit configured to receive a sequence of pictures and a processing circuit. The processing circuit may be configured to (i) remap image data of a first picture based upon a respective picture brightness values for the first picture and a second picture selected from the sequence of pictures, and (ii) perform temporal filtering between the first picture and the second picture utilizing the remapped image data.