Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.

Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.

The present technology relates to a data processing apparatus, data processing method, and a program which improve a compression ratio. Provided are a first compression part compressing data using compressed sensing and a second compression part compressing observation coefficients coming from the first compression part using a method different from the method used in the first compression part. The first compression part performs random sampling using a sampling matrix optimized for compression by the second compression part. The sampling matrix is designed to minimize the differential value between the observation coefficients. The present technology can be applied to recording/reproducing apparatuses that capture, compress, record, and reproduce image data.

The present technology relates to a data processing apparatus, data processing method, and a program which improve a compression ratio. Provided are a first compression part compressing data using compressed sensing and a second compression part compressing observation coefficients coming from the first compression part using a method different from the method used in the first compression part. The first compression part performs random sampling using a sampling matrix optimized for compression by the second compression part. The sampling matrix is designed to minimize the differential value between the observation coefficients. The present technology can be applied to recording/reproducing apparatuses that capture, compress, record, and reproduce image data.

The electronic device is provided. The electronic device includes a processor, and an image sensor module configured to be electrically connected to the processor, wherein the image sensor module comprises an image sensor configured to obtain raw image data and a control circuit configured to be electrically connected to the processor, and wherein the control circuit is configured to: generate a plurality of bit-planes configured based on bit positions of respective pixel values for a plurality of pixels corresponding to at least some of the raw image data obtained by the image sensor, generate compressed data in which one or more of the plurality of bit-planes are compressed, and transmit a bitstream containing the compressed data to the processor. Other embodiments may be provided.

The electronic device is provided. The electronic device includes a processor, and an image sensor module configured to be electrically connected to the processor, wherein the image sensor module comprises an image sensor configured to obtain raw image data and a control circuit configured to be electrically connected to the processor, and wherein the control circuit is configured to: generate a plurality of bit-planes configured based on bit positions of respective pixel values for a plurality of pixels corresponding to at least some of the raw image data obtained by the image sensor, generate compressed data in which one or more of the plurality of bit-planes are compressed, and transmit a bitstream containing the compressed data to the processor. Other embodiments may be provided.

A device, system, and method perform lossy compression for images and signals by identifying regions with a low density of features. The method performed at a sensor communicatively connected to a receiver includes capturing sensor data. The method includes selecting a position in the sensor data. The method includes determining a local entropy of the position based on an entropy operation that indicates a probability distribution of a plurality of available values. When the local entropy is below a predetermined threshold, the method includes applying a first pre-processing operation to the position that averages features included in the position. The method includes transmitting the pre-processed sensor data corresponding to the position to the receiver.

An image processing apparatus converts a multivalued image to a binary image, determines a character region and a non-character region in the binary image, extracts areas in units of a character from the character region, determines whether each of the areas is a character region or a non-character region, and extracts, for each of the areas determined to be the character region, a first representative color from the multivalued image included in the area, and generates a binary image corresponding to the first representative color. The apparatus decides a second representative color closest to a color of a target pixel by comparing the first representative color with the color of the target pixel, and changes the binary image of the area corresponding to the first representative color to a binary image of the decided second representative color.

An image processing apparatus converts a multivalued image to a binary image, determines a character region and a non-character region in the binary image, extracts areas in units of a character from the character region, determines whether each of the areas is a character region or a non-character region, and extracts, for each of the areas determined to be the character region, a first representative color from the multivalued image included in the area, and generates a binary image corresponding to the first representative color. The apparatus decides a second representative color closest to a color of a target pixel by comparing the first representative color with the color of the target pixel, and changes the binary image of the area corresponding to the first representative color to a binary image of the decided second representative color.

The present embodiments introduce a new type of random access point in video bitstreams that can be used for random access operations but can be represented in encoded form at a lower bit-cost as compared to IRAP pictures. The random access point is a dependent random access point (DRAP) picture that is encoded and decoded using an IRAP picture and/or a previous, according to a decoding order, DRAP picture as sole reference picture(s) for the DRAP picture. The DRAP picture is encoded as a trailing picture that may be used for reference and constitutes a random access point in a video bitstream.