31results about How to "Improve objective quality" patented technology

The invention discloses an image super-resolution reconstruction method based on a local regression model. The method comprises the following steps: at first, carrying out Gaussian low pass filtering on an input low resolution image to obtain a low frequency band image thereof, carrying out bicubic interpolation to obtain an approximate low frequency band image of a high resolution image; then, applying a one-order regression model to each image block in the low frequency band image of the high resolution image during reconstruction, wherein a mapping function between high / low images in the regression model can be obtained by a machine learning method of an input image, namely, sampling corresponding positions of the input low resolution image and the low frequency band image thereof to obtain sampling image blocks of corresponding positions, and carrying out dictionary training; and finally, respectively applying the one-order regression model to non-local self-similar blocks of the reconstructed image blocks, and carrying out weighted integration to obtain reconstructed high resolution image blocks. By adopting the method provided by the invention, no external image model is required, a prior model is obtained by learning the input image, and the high resolution image reconstructed by the model has better subjective and objective reconstruction effects.

The invention discloses a stereoscopic video whole frame loss error hiding method based on structural similarity. The stereoscopic video whole frame loss error hiding method based on the structural similarity is effectively combined with subjective perceptions from human eyes to picture structure information, respectively uses a motion compensation forecasting method or a parallax compensation forecasting method to recover errors aiming at different macro block reference modes of macro blocks in a dropped frame by judging the macro block reference modes of reference image frames of a moment before the dropped frame, and further is intensively combined with the subjective perceptions from the human eyes to picture structure similarity due to the fact that time domain pertinence and pertinences among viewpoints of traditional stereoscopic video are fully considered, and therefore not only objective quality of recovering of the dropped frame can be improved, but also subjective quality of the recovering of the dropped frame can be enabled to be close to the perceptions of the human eyes.