Abstract:
Techniques are described in which pixel intensity values of a display of a computing device may be nonlinearly scaled down to reduce the power consumption of the display. The computing device may determine a compressed pixel brightness range for the display. The computing device may determine a set of initial scaled pixel intensity levels based at least in part on the compressed pixel intensity range. The computing device may determine a set of scaled pixel intensity values based at least in part on an estimated power consumption value associated with the set of initial scaled pixel intensity levels. The computing device may scale the pixel brightness of pixels of the display from one of a plurality of pixel intensity levels to a corresponding scaled pixel intensity level of the set of scaled pixel intensity levels.
Abstract:
A system and method for coding video data in pattern mode for display stream compression (DSC) is disclosed. In one aspect, the method includes determining that a first pattern in a current block of video data is not in a pattern database comprising a plurality of patterns, and adding the first pattern to the pattern database. The first pattern may be associated with a first index identifying a location of the first pattern in the pattern database. The method further includes coding the current block in pattern mode at least in part via signaling (i) the first pattern determined not to be in the pattern database and (ii) the first index identifying the location of the first pattern in the first database.
Abstract:
A method and apparatus for video coding with spatial prediction mode for multi-mode video coding is disclosed. In one aspect, the method includes coding a slice of video data, the slice including a plurality of pixels organized into a first line and a plurality of non-first lines. The coding of the slice further includes coding a current pixel of the first line in a spatial prediction mode using a previous pixel of the first line as a predictor and coding another pixel of a non-first line in a coding mode other than the spatial prediction mode.
Abstract:
In an embodiment, a user equipment (UE) coupled to a display screen enters into a reduced blue light (RBL) mode. The UE determines, while operating in accordance with the RBL mode, a degree of blue light reduction in at least a portion of a display frame to be output on the display screen using at least one RBL rule from a set of RBL rules that is based upon one or more of (i) application-specific information of an application that is contributing image data to the portion of the display frame, and (ii) content-specific information that characterizes the image data in the portion of the display frame. The UE selectively reduces the blue light in the at least a portion of the display frame based on the determining. The UE sends the display frame with the selectively reduced blue light portion to the display screen for output.
Abstract:
Techniques are described in which pixel intensity values of a display of a computing device may be nonlinearly scaled down to reduce the power consumption of the display. The computing device may determine a compressed pixel brightness range for the display. The computing device may determine a set of initial scaled pixel intensity levels based at least in part on the compressed pixel intensity range. The computing device may determine a set of scaled pixel intensity values based at least in part on an estimated power consumption value associated with the set of initial scaled pixel intensity levels. The computing device may scale the pixel brightness of pixels of the display from one of a plurality of pixel intensity levels to a corresponding scaled pixel intensity level of the set of scaled pixel intensity levels.
Abstract:
In an example, a method for image processing may include inputting a first pixel value corresponding to a first pixel of an image into a LUT. The LUT may map one or more LUT input values to one or more LUT output values. The first pixel value may correspond to a first LUT input value that maps to a first LUT output value in the LUT. The first pixel may include one or more pixel values. The method may include generating a noise value for the first LUT input value. The method may include generating a first interpolated LUT output value for the first LUT input value based on the noise value. The method may include transforming the image into a transformed image using the first interpolated LUT output value.
Abstract:
A device includes a memory and at least one processor coupled to the memory. The at least one processor is configured to: generate, an original image for display, store the original image in the memory, adjust color tone of the original image by suppressing blue energy of a color spectrum of the original image to produce an adjusted image, store the adjusted image in the memory, and output the adjusted image for display.
Abstract:
A method and apparatus for video coding with spatial prediction mode for multi-mode video coding is disclosed. In one aspect, the method includes coding a slice of video data, the slice including a plurality of pixels organized into a first line and a plurality of non-first lines. The coding of the slice further includes coding a current pixel of the first line in a spatial prediction mode using a previous pixel of the first line as a predictor and coding another pixel of a non-first line in a coding mode other than the spatial prediction mode.
Abstract:
In an example, a method for image processing may include inputting a first pixel value corresponding to a first pixel of an image into a LUT. The LUT may map one or more LUT input values to one or more LUT output values. The first pixel value may correspond to a first LUT input value that maps to a first LUT output value in the LUT. The first pixel may include one or more pixel values. The method may include generating a noise value for the first LUT input value. The method may include generating a first interpolated LUT output value for the first LUT input value based on the noise value. The method may include transforming the image into a transformed image using the first interpolated LUT output value.