A method for steganographic processing and compression of image data with negligible information loss, wherein said image data comprises noise and information. The method includes the steps of: acquiring image data to be processed and/or compressed, storing and/or transmitting the image data, and preparing the acquired image data for compression. The preparation step includes determining an input noise model and corresponding parameters adapted to reflect noise created by an image sensor used to capture said image data, and removing, with negligible information loss, noise from the acquired image data by use of the input noise model such as to produce noise-reduced image data.

A modulator has a first grating pattern, and a second grating pattern having a phase shifted from the first grating pattern; a sensor processor receives a first image signal outputted by the first grating pattern, and a second image signal outputted by the second grating pattern; a difference processor calculates a difference between the first image signal and the second image signal; and a compression processor 3005 contains information that indicates a range of the difference to first compression image data. Those make it possible to reduce a data amount of images capable of focus adjustment etc. from later, and to lead to reduction in costs of a storage apparatus.

A filter process is performed on point cloud data using a representative value of the point cloud data for each local region obtained by dividing a three-dimensional space. A two-dimensional plane image on which the point cloud data subjected to the filter process is projected is encoded, and a bitstream is generated. The present disclosure can be applied to, for example, an information processing apparatus, an image processing apparatus, electronic equipment, an information processing method, a program, or the like.

Disclosed herein are methods, systems, and devices for solving the problem of caching large medical images during workflow. In one embodiment, a method is implemented on at least one computing device. The method includes receiving a source medical image file from a first remote device; caching the source medical image file in local memory; determining relevant medical image data, first non-relevant medical image data, and second non-relevant medical image data within the source medical image file; removing the second non-relevant medical image data to create a memory reduced medical image file; storing the memory reduced medical image file in the local memory; and transmitting the memory reduced medical image file to a second remote device.

A scanner calibration system is provided. The scanner calibration system includes memory configured in a format to store therein encoded gain and offset parameters. Such a configuration reduces the amount of required memory for the scanner calibration system without a compromise of performance.

A scanner calibration system is provided. The scanner calibration system includes memory configured in a format to store therein encoded gain and offset parameters. Such a configuration reduces the amount of required memory for the scanner calibration system without a compromise of performance.

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 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.

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.