Abstract: Disclosed herein are techniques for pre-processing image data for compression, e.g., image data that represents burn-in statistics for a display device. The techniques can involve receiving the image data, where the image data comprises a plurality of pixels, and each pixel of the plurality of pixels comprises at least two sub-pixel values. Next, each pixel of the plurality of pixels is quantized to produce a plurality of modified pixels. Subsequently, a series of operations are performed against each modified pixel of the plurality of modified pixels, including (1) applying an invertible transformation against the modified pixel, (2) applying a predictive coding against the modified pixel, and (3) applying an encoding of the modified pixel into a buffer as a data stream. The buffer is then compressed (as the modified pixels are serially encoded into the buffer) to produce compressed outputs that are joined together to produce a compressed image.

Abstract: The present disclosure relates to image processing and analysis and, in particular, automatic detection of text in an image through an application or an application program interface. In some embodiments, text is detected, but not recognized, through a process including: binarization or trinarization of an image; blob detection of the binarized or trinarized image; grouping blobs into horizontal boundaries; and using statistics to determine that some of horizontal bounded blobs are not text.