An electronic apparatus including an input unit configured to separate image data into pixel blocks and serially input luminance data and color difference data of each pixel block as individual pieces of block data, respectively, a quantization unit configured to serially convert each piece of the block data into quantized data, an encoding unit configured to serially convert each piece of the quantized data into encoded data, a color generation unit configured to generate compressed color image data using the encoded data, and a monochrome generation unit configured to generate compressed monochrome image data using the encoded data by performing one of deleting particular pieces of encoded data corresponding to the color difference data from a data sequence of the encoded data generated through the conversion by the encoding unit, and replacing the particular pieces of encoded data with encoded data corresponding to monochrome color difference data.

An imaging apparatus includes an imaging optical system that forms an optical signal, an imaging device that includes a plurality of pixels and that converts the optical signal formed on the plurality of pixels into an electrical signal, a color filter that is arranged between the imaging optical system and the imaging device and that has a different optical transmittance for each of the plurality of pixels and each of a plurality of wavelength ranges, and a transmission data compression circuit that compresses the electrical signal obtained by the imaging device. The sum of products of an optical transmittance group relating to a plurality of optical transmittances of the color filter for each of the plurality of pixels in the plurality of wavelength ranges and coefficients common to the plurality of pixels is the same between the plurality of pixels.

Systems and methods for processing online data are disclosed. One such method includes receiving a plurality of data points in a time-series at a short term storage. The method also includes calculating at least one approximation coefficient based on the plurality of data points using a wavelet transform, including calculating a highest level approximation coefficient, and calculating estimated value based on the highest level approximation coefficient. The method further includes calculating differences between the estimated value and the plurality of data points of the short term storage, and determining whether a maximum difference among the calculated differences is less than a predetermined threshold. The method further includes, based on the maximum difference being greater than or equal to the predetermined threshold, storing the oldest data point of the short term storage in a long term storage.

Systems and methods for processing online data are disclosed. One such method includes receiving a plurality of data points in a time-series at a short term storage. The method also includes calculating at least one approximation coefficient based on the plurality of data points using a wavelet transform, including calculating a highest level approximation coefficient, and calculating estimated value based on the highest level approximation coefficient. The method further includes calculating differences between the estimated value and the plurality of data points of the short term storage, and determining whether a maximum difference among the calculated differences is less than a predetermined threshold. The method further includes, based on the maximum difference being greater than or equal to the predetermined threshold, storing the oldest data point of the short term storage in a long term storage.

A computer-implemented method for compressing a data set, the method comprising receiving a first data block of the data set, selecting automatically by a compression management module a compression module from a plurality of compression modules to apply to the first data block based on projected compression efficacy or resource utilization, and compressing the first data block with the selected compression module to generate a first compressed data block.

A computer-implemented method for compressing a data set, the method comprising receiving a first data block of the data set, selecting automatically by a compression management module a compression module from a plurality of compression modules to apply to the first data block based on projected compression efficacy or resource utilization, and compressing the first data block with the selected compression module to generate a first compressed data block.

The application discloses an information exchange method and an information exchange system, the method including: overlaying at least one decoding template onto an encoded pattern in at least one eye fundus of a user, to obtain a recovery pattern presented in the at least one eye fundus of the user, where the recovery pattern corresponds to an original pattern of the encoded pattern, and the at least one decoding template corresponds to at least one encoder used when the encoded pattern is obtained. According to the technical solutions of the embodiments of this application, an encoded pattern is decoded by overlaying a decoding template to an encoded pattern in at least one eye fundus of a user, so that a specific user can conveniently and intuitively see information hidden in the encoded pattern directly on the spot.

The application discloses an information exchange method and an information exchange system, the method including: overlaying at least one decoding template onto an encoded pattern in at least one eye fundus of a user, to obtain a recovery pattern presented in the at least one eye fundus of the user, where the recovery pattern corresponds to an original pattern of the encoded pattern, and the at least one decoding template corresponds to at least one encoder used when the encoded pattern is obtained. According to the technical solutions of the embodiments of this application, an encoded pattern is decoded by overlaying a decoding template to an encoded pattern in at least one eye fundus of a user, so that a specific user can conveniently and intuitively see information hidden in the encoded pattern directly on the spot.

An image processing apparatus comprises: a division unit that divides input data on a predetermined basis; a generation unit that generates, from the input data divided by the division unit, intermediate data on the predetermined basis; an updating unit that updates the intermediate data by converting rendering contents of the intermediate data generated by the generation unit into image data; a transfer unit that transfers, each time the generation unit generates the intermediate data, the generated intermediate data to a raster image processing unit; and a determination unit that determines, before the transfer unit transfers first intermediate data generated from the input data, whether to perform updating for each intermediate data corresponding to the input data by the updating unit based on a rendering command of the input data or the first intermediate data.

An image processing apparatus according to the present disclosure includes: one or more image processing modules; a first work memory disposed in a previous position to the one or more image processing modules; a second work memory disposed in a next position to the one or more image processing modules; a decompression-rotation processing module configured to (a) read out and decompress plural pieces of compressed sub-band data of plural sub-bands which locate in plural bands at an identical position in a primary scanning direction, (b) rotate respective pieces of decompressed sub-band data, and store the pieces of rotated sub-band data in the first work memory; and a rotation-compression processing module configured to (c) read out the plural pieces of image-processed sub-band data stored in the second work memory and rotate the respective pieces of sub-band data, and (d) compress the respective pieces of rotated sub-band data.