A memory device can be configured to direct communication of data from an image sensor to the memory device and/or image signal processing circuitry coupled thereto. The memory device can be configured to receive first signaling indicative of first data from an image sensor via a first port and provide the first signaling from the memory device to image signal processing (ISP) circuitry via a second port. The memory device can be configured to receiving, by the memory device, second signaling indicative of second data from the image sensor while the ISP circuitry operates on the first data. An image processing operation can be performed using logic circuitry of the memory device. Directing communication of data using the memory device can reduce data transfers, reduce resource consumption of an imaging system, and offload workloads from a host device and/or a host processing device, for example.

A memory device can be configured to direct communication of data from an image sensor to the memory device and/or image signal processing circuitry coupled thereto. The memory device can be configured to receive first signaling indicative of first data from an image sensor via a first port and provide the first signaling from the memory device to image signal processing (ISP) circuitry via a second port. The memory device can be configured to receiving, by the memory device, second signaling indicative of second data from the image sensor while the ISP circuitry operates on the first data. An image processing operation can be performed using logic circuitry of the memory device. Directing communication of data using the memory device can reduce data transfers, reduce resource consumption of an imaging system, and offload workloads from a host device and/or a host processing device, for example.

An information processing device includes a memory, and processing circuitry coupled to the memory. The processing circuitry is configured to acquire gradation processing target image data, and perform gradation processing on the gradation processing target image data based on a learned model learned in advance.

An image processing device includes: a memory; and a processor coupled to the memory and configured to: calculate a degree of influence of each pixel of image data, the influence being exerted on a processing result when the image data is input to a deep learning model; reduce an information amount of intermediate information extracted from the deep learning model based on the degree of influence; and compress the intermediate information, the information amount of which has been reduced.

A system for determining compression rates for images, the system comprising a processing resource configured to: obtain a given image at least partially comprising a given text; compress the given image at a given compression ratio, giving rise to a compressed image; perform Optical Character Recognition (OCR) on the compressed image, giving rise to OCR text; compare the OCR text to the given text, giving rise to comparison results; upon the comparison results meeting a rule, increase the given compression rate; and upon the compression results not meeting a rule, return to a previous compression rate, if any.

An output method executed by a computer includes: receiving compressed data encoded in a state in which a page break is identifiable in print data having a plurality of pages and an encoding dictionary used for the encoding; identifying the page break of the received compressed data and partially decompressing the received compressed data into the print data in units of pages, by using the encoding dictionary; and outputting the print data in order of the decompression.

An output method executed by a computer includes: receiving compressed data encoded in a state in which a page break is identifiable in print data having a plurality of pages and an encoding dictionary used for the encoding; identifying the page break of the received compressed data and partially decompressing the received compressed data into the print data in units of pages, by using the encoding dictionary; and outputting the print data in order of the decompression.

The present disclosure discloses methods and systems for automatically determining one or more optimal scan settings to manage an output size of a document submitted for scanning at a multi-function device. The method includes receiving the document for scanning from a user, wherein the document includes one or more pages having content. As scanning activity is progressed at the multi-function device, an output file size is displayed to the user via a user interface in real-time. Then, an input from the user is received on the displayed output file size. Based on the input from the user, one or more scan settings are determined to be applied on the already scanned pages and remaining pages of the document to be scanned, to manage the output size of an output scanned file to be generated. Thereafter, the determined one or more scan settings are applied such that the output size of the scanned file is in accordance with the requirement. Finally, the scanned file is output of the required size.

An information loss determiner in an image processing device determines whether character collapse has occurred in a simple binarized image. If character collapse has not occurred in the simple binarized image, an image processing determiner selects simple binarization processing as the image processing method of output image data. If character collapse has occurred in the simple binarized image, the process proceeds to photograph area size determination. If the ratio of a photograph area size is less than or equal to a predetermined value, the information loss determiner determines that character collapse has occurred in a posterization processed image. If character collapse has occurred in the posterization processed image, the image processing determiner selects grayscale processing. If character collapse has not occurred in the posterization processed image, the image processing determiner selects posterization processing.

An encoding device 1 includes: a transformation unit 13 configured to calculate an orthogonal transform coefficient by performing an orthogonal transformation process on a residual image indicating a difference between the input image and a predicted image of the input image; a quantization unit 14 configured to generate a quantization coefficient by quantizing the orthogonal transform coefficient on the basis of a quantization parameter; an entropy encoding unit 24 configured to generate encoded data by encoding the quantization coefficient; an image decoding unit 10 configured to restore an orthogonal transform coefficient from the quantization coefficient on the basis of the quantization parameter and generate a reconstructed image by adding the predicted image to a residual image restored by performing inverse orthogonal transformation on the orthogonal transform coefficient; and a deblocking filtering unit 18 configured to perform a filtering process on the reconstructed image, wherein the deblocking filtering unit 18 controls a filtering strength depending on a luminance signal level of the reconstructed image and the quantization parameter.