Abstract: A measure of visual quality of processed images relative to unprocessed images is generated in real-time. The measure of visual quality closely correlates with a human's actual perception of the processed image relative to the original image. The measure of visual quality is computed based on a measure of discrepancy (e.g., mean square errors) between the processed and unprocessed images and the variance of each image in the pixel domain or the transform domain may be determined. If the processed image is unavailable, a prediction of the processed image may be used in place of the processed image. The prediction of a processed image may involve predicting the variance values for processed image blocks. The visual quality measure may be used in a feedback loop to improve processing or encoding.

Abstract: A measure of visual quality of processed images relative to unprocessed images is generated in real-time. The measure of visual quality closely correlates with a human's actual perception of the processed image relative to the original image. The measure of visual quality is computed based on a measure of discrepancy (e.g., mean square errors) between the processed and unprocessed images and the variance of each image in the pixel domain or the transform domain may be determined. If the processed image is unavailable, a prediction of the processed image may be used in place of the processed image. The prediction of a processed image may involve predicting the variance values for processed image blocks. The visual quality measure may be used in a feedback loop to improve processing or encoding.

Abstract: A measure of visual quality of processed images relative to unprocessed images is generated in real-time. The measure of visual quality closely correlates with a human's actual perception of the processed image relative to the original image. The measure of visual quality is computed based on a measure of discrepancy (e.g., mean square errors) between the processed and unprocessed images and the variance of each image in the pixel domain or the transform domain may be determined. If the processed image is unavailable, a prediction of the processed image may be used in place of the processed image. The prediction of a processed image may involve predicting the variance values for processed image blocks. The visual quality measure may be used in a feedback loop to improve processing or encoding.

Abstract: A measure of visual quality of processed images relative to unprocessed images is generated in real-time. The measure of visual quality closely correlates with a human's actual perception of the processed image relative to the original image. The measure of visual quality is computed based on a measure of discrepancy (e.g., mean square errors) between the processed and unprocessed images and the variance of each image in the pixel domain or the transform domain may be determined. If the processed image is unavailable, a prediction of the processed image may be used in place of the processed image. The prediction of a processed image may involve predicting the variance values for processed image blocks. The visual quality measure may be used in a feedback loop to improve processing or encoding.

Abstract: A data processing system includes a subband decomposition of a source signal by encoding of the significant pyramid-type subband representation. While encoding process, M-array is used for initialization of set of arrays Si (arrays of solution bits), which define the order of creating output data streams. Output data streams contain an encoded significance map and values of (significant) non-zero subband decomposition coefficients adapted for successive quantization and entropy encoding.

Abstract: A method of video data transmitting by means of video data reconstruction on the receiving end of the communication channel per time unit, based not only on the data, transmitted directly via the channel, but on all previously transmitted, decoded and stored video data.