Abstract: A method and apparatus for sample adaptive offset without sign coding. The method includes selecting an edge offset type for at least a portion of an image, classifying at least one pixel of at least the portion of the image into edge shape category, calculating an offset of the pixel, determining the offset is larger or smaller than a predetermined threshold, changing a sign of the offset based on the threshold determination; and performing entropy coding accounting for the sign of the offset and the value of the offset.

Abstract: Techniques for signaling of sample adaptive offset (SAO) information that may reduce the coding rate for signaling such information in the compressed bit stream are provided. More specifically, techniques are provided that allow SAO information common to two or more of the color components to be signaled using one or more syntax elements (flags or indicators) representative of the common information. These techniques reduce the need to signal SAO information separately for each color component.

Abstract: A method for sample adaptive offset (SAO) filtering in a video encoder is provided that includes estimating SAO parameters for color components of a largest coding unit (LCU) of a picture, wherein estimating SAO parameters includes using at least some non-deblock-filtered reconstructed pixels of the LCU to estimate the SAO parameters, performing SAO filtering on the reconstructed LCU according to the estimated SAO parameters, and entropy encoding SAO information for the LCU in a compressed video bit stream, wherein the SAO information signals the estimated SAO parameters for the LCU.

Abstract: An image acquisition apparatus includes a first image sensor configured to obtain a first image based on detection of a light of a first wavelength band; a second image sensor configured to obtain a second image based on detection of a light of a second wavelength band that is wider than the first wavelength band; and a processor configured to obtain a third image having a spatial resolution corresponding to the first image and a color gamut corresponding to the second image based on the first image and the second image. The image acquisition apparatus may provide an image with a high spatial resolution and a wide color gamut.

Abstract: A method and apparatus for sample adaptive offset without sign coding. The method includes selecting an edge offset type for at least a portion of an image, classifying at least one pixel of at least the portion of the image into edge shape category, calculating an offset of the pixel, determining the offset is larger or smaller than a predetermined threshold, changing a sign of the offset based on the threshold determination; and performing entropy coding accounting for the sign of the offset and the value of the offset.

Abstract: An integrated image sensor includes a pixel array; an analog circuit configured to control the pixel array and read out image data based on an output signal of the pixel array; a processor configured to generate a control signal for controlling the analog circuit based on the image data and to feed back the control signal to the analog circuit; and a memory storing the image data.

Abstract: Techniques for signaling of sample adaptive offset (SAO) information that may reduce the coding rate for signaling such information in the compressed bit stream are provided. More specifically, techniques are provided that allow SAO information common to two or more of the color components to be signaled using one or more syntax elements (flags or indicators) representative of the common information. These techniques reduce the need to signal SAO information separately for each color component.

Abstract: A method for sample adaptive offset (SAO) filtering in a video encoder is provided that includes estimating SAO parameters for color components of a largest coding unit (LCU) of a picture, wherein estimating SAO parameters includes using at least some non-deblock-filtered reconstructed pixels of the LCU to estimate the SAO parameters, performing SAO filtering on the reconstructed LCU according to the estimated SAO parameters, and entropy encoding SAO information for the LCU in a compressed video bit stream, wherein the SAO information signals the estimated SAO parameters for the LCU.

Abstract: An integrated high-speed image sensor includes a pixel array; a processor configured to determine a region of interest (ROI) and a region of non-interest (RONI) of the pixel array; an analog signal processing circuit configured to read out ROI image data at a first frame rate and read out RONI image data at a second frame rate; and a memory storing the ROI image data and the RONI image data.

Abstract: A method and apparatus for image coding using hierarchical sample adaptive band offset. The method includes decoding a signal of a portion of an image, determining a band offset type and offset of a portion of the image, utilizing the band offset type and offset to determine a sub-band, and reconstructing a pixel value according to the determined offset value.

Abstract: A method of acquiring an image includes: acquiring channel signals corresponding to more than four channels from a multispectral sensor; determining a cumulative infrared signal included in all of the channel signals by synthesizing the infrared components of the channel signals; calculating an infrared component of each channel, based on the cumulative infrared signal and individual characteristics of the channels; and acquiring corrected channel signals by removing the infrared component from each of the channel signals.

Abstract: An integrated high-speed image sensor includes a pixel array; a processor configured to determine a region of interest (ROI) and a region of non-interest (RONI) of the pixel array; an analog signal processing circuit configured to read out ROI image data at a first frame rate and read out RONI image data at a second frame rate; and a memory storing the ROI image data and the RONI image data.

Abstract: An image acquisition apparatus includes: a multispectral image sensor configured to acquire images in at least four channels based on a second wavelength band of about 10 nm to about 1,000 nm; and a processor configured to estimate illumination information of the images by inputting the images of at least four channels to a deep learning network trained in advance, and convert colors of the acquired images using the estimated illumination information.

Abstract: A method for sample adaptive offset (SAO) filtering and SAO parameter signaling in a video encoder is provided that includes determining SAO parameters for largest coding units (LCUs) of a reconstructed picture, wherein the SAO parameters include an indicator of an SAO filter type and a plurality of SAO offsets, applying SAO filtering to the reconstructed picture according to the SAO parameters, and entropy encoding LCU specific SAO information for each LCU of the reconstructed picture in an encoded video bit stream, wherein the entropy encoded LCU specific SAO information for the LCUs is interleaved with entropy encoded data for the LCUs in the encoded video bit stream. Determining SAO parameters may include determining the LCU specific SAO information to be entropy encoded for each LCU according to an SAO prediction protocol.

Abstract: Provided is an image acquisition apparatus including an image sensor configured to obtain an image, and a processor configured to obtain a basis based on a surrounding environment of the image acquisition apparatus, estimate illumination information based on the obtained basis, and perform color conversion on the image based on the estimated illumination information.

Abstract: A method for sample adaptive offset (SAO) filtering and SAO parameter signaling in a video encoder is provided that includes determining SAO parameters for largest coding units (LCUs) of a reconstructed picture, wherein the SAO parameters include an indicator of an SAO filter type and a plurality of SAO offsets, applying SAO filtering to the reconstructed picture according to the SAO parameters, and entropy encoding LCU specific SAO information for each LCU of the reconstructed picture in an encoded video bit stream, wherein the entropy encoded LCU specific SAO information for the LCUs is interleaved with entropy encoded data for the LCUs in the encoded video bit stream. Determining SAO parameters may include determining the LCU specific SAO information to be entropy encoded for each LCU according to an SAO prediction protocol.

Abstract: An image acquisition apparatus includes: a first image sensor configured to acquire a first image based on a first wavelength band; a second image sensor configured to acquire a second image based on a second wavelength band of 10 nm to 1,000 nm, and a processor configured to register the first image and the second image, which are respectively output from the first image sensor and the second image sensor, to obtain a registration image based on the first image and the second image, and perform color conversion on the registration image by using an illumination value estimated from the second image.

Abstract: An image acquisition apparatus includes a first image sensor configured to obtain a first image based on detection of a light of a first wavelength band; a second image sensor configured to obtain a second image based on detection of a light of a second wavelength band that is wider than the first wavelength band; and a processor configured to obtain a third image having a spatial resolution corresponding to the first image and a color gamut corresponding to the second image based on the first image and the second image. The image acquisition apparatus may provide an image with a high spatial resolution and a wide color gamut.

Abstract: A method and apparatus for sample adaptive offset without sign coding. The method includes selecting an edge offset type for at least a portion of an image, classifying at least one pixel of at least the portion of the image into edge shape category, calculating an offset of the pixel, determining the offset is larger or smaller than a predetermined threshold, changing a sign of the offset based on the threshold determination; and performing entropy coding accounting for the sign of the offset and the value of the offset.

Abstract: An integrated gaze tracker includes a pixel array configured to capture an image to provide an output signal comprising the image; a memory configured to store an image data unit to be read out in units of lines based on the output signal of the pixel array; and a processor configured to generate a gaze vector based on partial image data comprising the image data unit, among entire image data included in the output signal.