Abstract: A backlight module includes a light source, a first prism sheet disposed on the light source, and a light type adjustment sheet disposed on a side of the first prism sheet away from the light source and including a base and multiple light type adjustment structures. The multiple light type adjustment structures are disposed on the first surface of the base. Each light type adjustment structure has a first structure surface and a second structure surface connected to each other. The first structure surface of each light type adjustment structure and the first surface of the base form a first base angle therebetween, and the second structure surface of each light type adjustment structure and the first surface of the base form a second base angle therebetween. The angle of the first base angle is different from the angle of the second base angle.

Abstract: A video decoder can be configured to determine that a current block in a current picture of the video data is coded in an affine prediction mode; determine one or more control-point motion vectors (CPMVs) for the current block; identify an initial prediction block for the current block in a reference picture using the one or more CPMVs; determine a current template for the current block in the current picture; and determine an initial reference template for the initial prediction block in the reference picture; and perform a motion vector refinement process to determine a modified prediction block based on a comparison of the current template to the initial reference template.

Abstract: An example device for decoding video data includes one or more processors implemented in circuitry and configured to: generate an inter-prediction block for a current block of video data; generate an intra-prediction block for the current block of video data; generate a final prediction block for the current block of video data from the inter-prediction block and the intra-prediction block, including performing each of combined inter/intra prediction (CIIP) mode, overlapped block motion compensation (OBMC), and luma mapping with chroma scaling (LMCS) while generating the final prediction block; and decode the current block of video data using the final prediction block. To generate the final prediction block, the processors may perform LMCS on a first inter-prediction sub-block, combine the LMCS-mapped first inter-prediction sub-block with the intra-prediction block using CIIP, and perform OBMC between the first CIIP prediction block and a second inter-prediction sub-block.

Abstract: A video encoding method and system are provided for encoding a video sequence. The video sequence includes N sub-sequences which each includes a plurality of frames. When the video encoding system encodes the jth frame in the ith sub-sequence of the video sequence, the frames previous to the jth frame in the ith sub-sequence have been encoded. Based on the encoded frames, an initial quantization scale is generated. According to the initial quantization scale, the jth frame of the ith sub-sequence is encoded in the inter-encoded mode. Whether the jth frame in the ith sub-sequence is a “scene change” relative to the (j?1)th frame in the ith subsequence is judged, and if YES, based on the initial quantization scale, an adjusted quantization scale is generated. Moreover, the jth frame in the ith sub-sequence is re-encoded in accordance with the adjusted quantization scale.

Abstract: An image processing method is provided. A digital image is outputted by an optical sensor and includes M pixels. The ith pixel among the M pixels has an ith set of original gray levels, wherein i is an integer index ranging from 1 to M. In the method according to this invention, M sets of logarithm values are first generated. The ith set of logarithm values among the M sets of logarithm values is generated based on the ith set of original gray levels and a set of adjusting parameters relative to the optical sensor. Statistics of the M sets of logarithm values is then gathered. According to the statistics result, a target color temperature of the digital image is determined.

Abstract: An image processing method is provided. A digital image is outputted by an optical sensor and includes M pixels. The ith pixel among the M pixels has an ith set of original gray levels, wherein i is an integer index ranging from 1 to M. In the method according to this invention, M sets of logarithm values are first generated. The ith set of logarithm values among the M sets of logarithm values is generated based on the ith set of original gray levels and a set of adjusting parameters relative to the optical sensor. Statistics of the M sets of logarithm values is then gathered. According to the statistics result, a target color temperature of the digital image is determined.

Abstract: The present invention discloses a video encoding method and system for encoding a video sequence. The video sequence includes N sub-sequences which each includes a plurality of frames. When the present invention encodes the jth frame in the ith sub-sequence of the video sequence, the frames previous to the jth frame in the ith sub-sequence have been encoded. Based on the encoded frames, an initial quantization scale is generated. According to the initial quantization scale, the jth frame of the ith sub-sequence is encoded in the inter-encoded mode. Whether the jth frame in the ith sub-sequence is a “scene change” relative to the (j?1)th frame in the ith subsequence is judged, and if YES, based on the initial quantization scale, an adjusted quantization scale is generated. Moreover, the jth frame in the ith sub-sequence is re-encoded in accordance with the adjusted quantization scale.