The present disclosure describes method, apparatus, and storage medium for identifying an identification code. The method includes obtaining, by a computer device, a to-be-detected picture. The computer device includes a memory storing instructions and a processor in communication with the memory. The method also includes detecting, by the computer device, an identification code in the to-be-detected picture to obtain a detection result, the detection result comprising target information of a target code corresponding to the identification code; sampling, by the computer device, the target code according to the target information, to obtain a sampled image; and decoding, by the computer device, the sampled image, to obtain an identification result corresponding to the identification code.

A multicolor 2D-photo-marker including a rectangular matrix of data pixels, framed by a contrasting matrix locator, wherein the rectangular matrix of data pixels includes at least one orientation data pixel that carry photo-marker orientation information and is located at a pre-selected location, and wherein a unique color and location combination of the multiple data pixels encodes identification information of the object with which the multicolor 2D-photo-marker is coupled with. Preferably, the rectangular matrix of data pixels further includes color reference pixels, each located at a pre-selected location, designated to serve as dictionary hue pixels. Preferably, the pre-selected location of each color reference pixels is at a corner of the rectangular matrix of data pixels. An orientation data pixel may also serve as a color reference pixel.

An image processing apparatus comprising: an input unit configured to input image signals which include a first signal and a second signal lower in spatial resolution than the first signal; an obtaining unit configured to obtain information about a spatial high-frequency component of the first signal which is included in the image signals input by the input unit; a generation unit configured to generate an expanded second signal obtained by expanding the spatial resolution of the second signal included in the image signals by using the information about the spatial high-frequency component of the first signal obtained by the obtaining unit; and an output unit configured to output a processed image signal which includes the expanded second signal generated by the generation unit.

A method includes: capturing an image; partitioning the image into sub-images; for each sub-image: providing the sub-image to a detection model, receiving, from the detection model, one or more sub-image regions of interest (SROIs), each SROI defined by (i) a position of the SROI, and (ii) one of a set of symbology categories, each symbology category encompassing a plurality of barcode symbologies; generating one or more regions of interest (ROI) from the SROIs, each ROI defined by a position of the ROI in the image, and a symbology category; and providing the ROIs to a decoder.

An image processing apparatus, determines, using a pixel signal included in a region referenced on a pixel of interest of a target image, a direction having a high signal correlation in the region, performs, using pixel signals from neighboring pixels of the pixel of interest based on a determination result, interpolation processing for interpolating a pixel signal of the pixel of interest, and performs reduction by reducing the number of pixels of the interpolated image, wherein the interpolation processing is executed according to a reduction rate used in the reduction, such that a high frequency component of the image decreases as a degree of reduction increases, while applying a weight to the pixel signal of a pixel, among the neighboring pixels, located in the direction determined as having the high correlation based on the determination result.

A method includes: capturing an image; partitioning the image into sub-images; for each sub-image: providing the sub-image to a detection model, receiving, from the detection model, one or more sub-image regions of interest (SROIs), each SROI defined by (i) a position of the SROI, and (ii) one of a set of symbology categories, each symbology category encompassing a plurality of barcode symbologies; generating one or more regions of interest (ROI) from the SROIs, each ROI defined by a position of the ROI in the image, and a symbology category; and providing the ROIs to a decoder.