发明名称 CONVERGENT MONOTONIC MATRIX FACTORIZATION BASED ENTIRE FRAME IMAGE PROCESSING
摘要 Technologies are generally described for the display of images by employing monotonic matrix factorization and sub-frame approximation image integration. In some examples, drive signals for a display device may be generated by iteratively applying a monotonic non-negative matrix factorization (NNMF) process to source image data. A given iteration of the monotonic NNMF process may result in approximation image data, partial sum image data, and residue image data, some or all of which may be further processed via subsequent iterations of the monotonic NNMF process. A generated approximation image data may then be displayed during a sub-frame time interval by selective activation of multiple row and column drivers. A series of such displayed approximation image data may effectively correspond to the original source image. In particular, the monotonic NNMF process may allow the generation of non-negative residue image data without the use of element reduction.
申请公布号 US2016117977(A1) 申请公布日期 2016.04.28
申请号 US201514883645 申请日期 2015.10.15
申请人 Indian Institute of Technology Kanpur 发明人 SONIWAL Yogesh Kumar;Subramanian Venkatesh K;MITRA Amit
分类号 G09G3/20 主分类号 G09G3/20
代理机构 代理人
主权项 1. A method, by an image processor, to generate drive signals for a display device to display a source image in response to receipt of source image data, the method comprising: applying a monotonic non-negative matrix factorization (NNMF) process to the source image data to generate approximation image data, partial sum image data, and residue image data, the monotonic NNMF process comprising: extending a block matrix, the block matrix selected from the source image data;determining at least one new factor based on: the extended block matrix and one of: an approximation image row vector; andan approximation image column vector;adding the at least one new factor to the other of the approximation image row vector and the approximation image column vector to form an extended approximation image vector; andgenerating the residue image data based on the extended approximation image vector and one of the approximation image row vector and the approximation image column vector; iteratively applying the monotonic NNMF process to the residue image data to generate subsequent approximation image data, subsequent partial sum image data, and subsequent residue image data until a specific criterion is satisfied, wherein each approximation image data corresponds to a sub-frame image; partitioning a total frame time into one or more sub-frame times associated with each sub-frame image; and sending, to the display device, the approximation image data and corresponding sub-frame time for each sub-frame image, wherein multiple row drivers and multiple column drivers of the display device are selectively activated based on the approximation image data and corresponding sub-frame time.
地址 Kanpur IN