A system performs a method for processing an image of a machine-readable code. The method includes receiving an image of a machine-readable code comprising coded information, where the machine-readable code is at least partially obscured by a substance that has a predominant color; generating an adjusted image by adjusting a color space of the image based on the predominant color; binarizing at least a machine-readable code region of the image, wherein the machine-readable code region of the image depicts the machine-readable code; and decoding the binarized machine-readable code region to determine the coded information. Other apparatus and methods are also described.

An image processing apparatus processes image data generated by a reading unit configured to read a document, using at least one of a plurality of types of reading elements that have different spectral sensitivity characteristics and are cyclically arrayed in a first direction, by scanning the document in a second direction vertical to the first direction. The image processing apparatus includes a processing unit configured to perform, on the image data, filter processing for averaging pixel values of pixels at least equal in number to the types of the reading elements in the first direction, wherein the processing unit is implemented by at least one processor or at least one circuit.

An image processing apparatus processes image data generated by a reading unit configured to read a document, using at least one of a plurality of types of reading elements that have different spectral sensitivity characteristics and are cyclically arrayed in a first direction, by scanning the document in a second direction vertical to the first direction. The image processing apparatus includes a processing unit configured to perform, on the image data, filter processing for averaging pixel values of pixels at least equal in number to the types of the reading elements in the first direction, wherein the processing unit is implemented by at least one processor or at least one circuit.

A processor generates an extraction image by extracting, from a test image, a target specific part that is a horizontal stripe extending in a horizontal direction or a noise point. The processor derives a vertical data sequence from a target area in the extraction image and converts the vertical data sequence to primary conversion data of a frequency domain. The processor converts, to secondary conversion data of a space domain, correction data that is obtained by removing, from the primary conversion data, data of frequency bands other than a particular frequency band corresponding to a target specific part that was determined as having periodicities. The processor classifies the target specific parts into periodic specific part and non-periodic specific part by comparing positions of the target specific parts with a peak position in a waveform represented by the secondary conversion data.

A processor identifies a specific part composed of a plurality of significant pixels in a mixed-color test image. Furthermore, the processor identifies a color vector. The color vector represents a vector in a color space from one of a color of the specific part in the mixed-color test image and a color of a reference area including a periphery of the specific part to the other. Furthermore, the processor determines which of a plurality of image creating portions of an image forming device corresponding to a plurality of developing colors, is a cause of an image defect, based on the color vector identified from the mixed-color test image.

A processor selects a target sheet from a plurality of predetermined sheet candidates in accordance with selection information that is input via an input device. Furthermore, the processor derives feature information regarding a noise point from a target image that is obtained through an image reading process performed on an output sheet output from an image forming device, the noise point being a dot-like noise image included in the target image. Furthermore, the processor determines whether or not the noise point is a dot-like sheet noise by applying the feature information to a determination algorithm that corresponds to the target sheet, the sheet noise being included in a sheet of the output sheet itself, the determination algorithm being one of a plurality of determination algorithms that respectively correspond to the plurality of sheet candidates.

In one implementation, a method includes obtaining an image. The method includes correcting color aberration of the image comprising, for a particular pixel of the image by determining one or more chromatic characteristic values for the particular pixel, determining a likelihood that the particular pixel exhibits color aberration based on the one or more chromatic characteristic values for the particular pixel, generating a filtered version of the particular pixel by filtering the particular pixel using pixels in a neighborhood surrounding the particular pixel, and generating a color-corrected version of the particular pixel based on the likelihood that the particular pixel exhibits color aberration and the filtered version of the particular pixel.

An information processing apparatus includes: a processor configured to execute a first smoothing process of smoothing a black component of a color conversion table, calculate other color components of the color conversion table using the black component for which the first smoothing process is executed, and execute a first update process of updating the color conversion table based on the black component for which the first smoothing process is executed and the calculated other color components.

An information processing apparatus includes: a processor configured to execute a first smoothing process of smoothing a black component of a color conversion table, calculate other color components of the color conversion table using the black component for which the first smoothing process is executed, and execute a first update process of updating the color conversion table based on the black component for which the first smoothing process is executed and the calculated other color components.

Provided is an operation method of an image signal processor (ISP) configured to perform signal processing on a raw image received from an image device, the operation method including generating a plurality of multi-scale images based on an input image, the plurality of multi-scale images having resolutions that are different from each other, iteratively performing a fast global weighted least squares (FGWLS) based operation on each of the plurality of multi-scale images to generate a final illuminance map, and outputting an enhanced image based on the final illuminance map and the input image.