An image quality evaluation method to be executed by an information processing apparatus includes: acquiring information about a step at a boundary portion between an image portion, which is formed using a recording material, and a base material portion, which is a ground of the image portion, and a gloss level of the image portion; and calculating an evaluation value of a relief feel on the basis of the acquired information about the step and the gloss level.

An example electronic system is described in which an imaging device includes a lens and an image sensor. The imaging device is aligned with an optical target. The optical target includes a text character of a defined text size. An image capturer activates the imaging device to capture an electronic image of the optical target. The electronic image includes the text character of the optical target. An optical recognizer generates an optical recognition result for the character based on the captured electronic image. A sharpness detector compares the optical recognition result with a true value of the text character included in the optical target. Based on the comparison, a designated or defined text size is selected as a designated resolution. The designated resolution is then associable with the imaging device, the optical target, the electronic image, or a component thereof.

Arrangement for acquiring images for producing a head related transfer function filter is disclosed. In the arrangement the camera of a mobile phone or similar portable device is adjusted for the imaging. All acquired images are analyzed and only suitable images are sent further for producing the head related transfer filter. The arrangement is further configured to provide instructions to the user so that the whole head and other relevant body parts are sufficiently covered.

The present disclosure provides a laser projection component and a detection method thereof, and an electronic device. The laser projection component is applicable to the depth camera component and is configured to project a laser pattern. The detection method includes: obtaining the laser pattern; determining whether a preset identifier exists in the laser pattern; and determining that the depth camera component is abnormal when the preset identifier does not exist in the laser pattern.

Systems, devices, methods, and computer processing products for automatically checking for errors in segmentation (contouring) using heuristic and/or statistical evaluation methods.

An imaging apparatus amplifies signal voltage resulting from voltage conversion of signal charge obtained by photoelectric conversion of an optical image of an object and then performs digital conversion to the signal voltage. The imaging apparatus includes an amplifier circuit that amplifies the signal voltage using two or more amplification factors that are set, a weight determining unit configured to determine weights for the respective signals subjected to the digital conversion after the amplification based on the two or more amplification factors, and a combining unit configured to combine the two or more signals subjected to the digital conversion after the amplification using the weights.

An image detection obtains original image. The original image is corrected to obtain a corrected image. Median filtering is performed on the corrected image to obtain a filtered image. A contrast of the filtered image is adjusted to obtain an adjusted image. Bilateral filtering is performed on the adjusted image to obtain an enhanced image. Defects in the enhanced image is detected. The method can detect defects in images accurately and efficiently.

An image postprocessor enhances the quality and detail of a rendered image by applying a photosite demosaicing technique directly to the pixels stored in the viewport of the rendered image. The image postprocessor detects a first subset of the viewport pixels having color values that deviate by more than a threshold amount from color values of a neighboring second subset of the viewport pixels. The image postprocessor maps the viewport pixels to a set of emulated photosites based on a position of each pixel in the viewport, and demosaics and/or interpolates the color values associated with a subset of the emulated photosites in order to generate new pixels for the gap. The image postprocessor replaces the first subset of pixels in the viewport with the new pixels, and presents a second visualization based on the modified pixels of the viewport.

An X-ray imaging system using multiple puked X-ray sources to perform highly efficient and ultrafast 3D radiography is presented. There are multiple puked X-ray sources mounted on a structure in motion to form an array of sources. The multiple X-ray sources move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Electron beam inside each individual X-ray tube is deflected by magnetic or electrical field to move focal spot a small distance. When focal spot of an X-ray tube beam has a speed that is equal to group speed but with opposite moving direction, the X-ray source and X-ray flat panel detector are activated through an external exposure control unit so that source tube stay momentarily standstill equivalently. 3D scan can cover much wider sweep angle in much shorter time and image analysis can also be done in real-time.

A self-service terminal (100) and a method (300, 600) for operating a self-service terminal are disclosed, wherein the self-service terminal (100) comprises: an imaging device (102), configured for providing at least one digital image (104); at least one processor (110), configured for: determining whether the at least one digital image (104) comprises a face of a person; if the at least one digital image (104) comprises the face of the person, cutting out from the at least one digital image (104) an image region which comprises the face of the person; and a storage device (108), configured for storing the image region.