Abstract: 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.

Abstract: 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.

Abstract: Drive signals for a display device may be generated using Separable Non-negative Matrix Series Representation (SNMSR) of source image data and applying a nonnegative matrix factorization (NNMF) process to source image data to generate approximation image data (Ii), partial sum image data (Pi) and residue image data (Ji). Iteratively, NNMF may be applied to Ji such that subsequent Ii and Ji may be generated, where each Ii can be associated with a corresponding sub-frame image. At each iteration, the Ii may be sent to the display buffer for selective activation of multiple row and column drivers during a single sub-frame interval. At each iteration, a determination may be made if a predetermined criterion is satisfied. The iterations may be terminated and the series truncated when the predetermined criterion is satisfied. Integration of the sub-frame images displayed over a complete frame interval by human eye effectively corresponds to the source image.

Abstract: Drive signals for a display device may be generated using Separable Nonnegative Matrix Series Representation (SNMSR) of source image data and applying a non-negative matrix factorization (NNMF) process to source image data to generate approximation image data (Ii), partial sum image data (Pi) and residue image data (Ji). Iteratively, NNMF may be applied to Ji such that subsequent Ii and Ji may be generated, where each Ii can be associated with a corresponding sub-frame image. At each iteration, the Ii may be sent to the display buffer for selective activation of multiple row and column drivers during a single sub-frame interval. At each iteration, a determination may be made if a predetermined criterion is satisfied. The iterations may be terminated and the series truncated when the predetermined criterion is satisfied. Integration of the sub-frame images displayed over a complete frame interval by human eye effectively corresponds to the source image.