Abstract: A system configured to perform pre-processing on a plurality of frames representative of an image, such as frames of a video sequences, to improve the compressibility of the video sequence during video encoding. In some cases, the plurality of frames are utilized to generate a deblocked image that may be compressed by the video encoder to further improve compression rates with respect to the original video sequence.

Abstract: A system configured to perform pre-processing on a plurality of frames representative of an image, such as frames of a video sequences, to improve the compressibility of the video sequence during video encoding. In some cases, the plurality of frames are utilized to generate a deblocked image that may be compressed by the video encoder to further improve compression rates with respect to the original video sequence.

Abstract: A system configured to apply a human visual system model at one or more human visual system model settings to a reference video sequence and a distorted video sequence to determine a quality score of the distorted video sequence with respect to the reference video sequence is described. The human visual system model settings of the human visual system model are representative of at least one condition associated with an individual viewing the distorted video sequence.

Abstract: A system configured to perform pre-processing on a plurality of frames representative of an image, such as frames of a video sequences, to improve the compressibility of the video sequence during video encoding. In some cases, the plurality of frames are utilized to generate a deblocked image that may be compressed by the video encoder to further improve compression rates with respect to the original video sequence.

Abstract: A method, system and computer program product for improving accuracy and computation efficiency in interpolation, upsampling and color channel estimation. A Bayesian estimator used to estimate the value of a pixel in an image is constructed using measurements of high-order (e.g., 3rd, 4th, 5th) statics for nearby points in natural images. These measurements reveal highly systematic statistical regularities that were ignored from the prior algorithms due to their restrictive measurements and assumptions. As a result, the accuracy in interpolation, upsampling and color channel prediction is improved. Furthermore, the process for constructing a Bayesian estimator is simpler and more direct by storing in a table the mean value of the pixel value to be estimated for each combination of values of nearby points in training samples. As a result of having a simpler and more direct approach than existing methods, the computational efficiency is improved.

Abstract: Methods and composition for denoising digital camera images are provided herein. The method is based on directly measuring the local statistical structure of natural images in a large training set that has been corrupted with noise mimicking digital camera noise. The measured statistics are conditional means of the ground truth pixel value given a local context of input pixels. Each conditional mean is the Bayes optimal (minimum mean squared error) estimate given the specific local context. The conditional means are measured and applied recursively (e.g., the second conditional mean is measured after denoising with the first conditional mean). Each local context vector consists of only three variables, and hence the conditional means can be measured directly without prior assumptions about the underlying probability distributions, and they can be stored in fixed lookup tables.

Abstract: Methods and composition for denoising digital camera images are provided herein. The method is based on directly measuring the local statistical structure of natural images in a large training set that has been corrupted with noise mimicking digital camera noise. The measured statistics are conditional means of the ground truth pixel value given a local context of input pixels. Each conditional mean is the Bayes optimal (minimum mean squared error) estimate given the specific local context. The conditional means are measured and applied recursively (e.g., the second conditional mean is measured after denoising with the first conditional mean). Each local context vector consists of only three variables, and hence the conditional means can be measured directly without prior assumptions about the underlying probability distributions, and they can be stored in fixed lookup tables.

Abstract: A method, system and computer program product for improving accuracy and computation efficiency in interpolation, upsampling and color channel estimation. A Bayesian estimator used to estimate the value of a pixel in an image is constructed using measurements of high-order (e.g., 3rd, 4th, 5th) statics for nearby points in natural images. These measurements reveal highly systematic statistical regularities that were ignored from the prior algorithms due to their restrictive measurements and assumptions. As a result, the accuracy in interpolation, upsampling and color channel prediction is improved. Furthermore, the process for constructing a Bayesian estimator is simpler and more direct by storing in a table the mean value of the pixel value to be estimated for each combination of values of nearby points in training samples. As a result of having a simpler and more direct approach than existing methods, the computational efficiency is improved.

Abstract: A patient interaction apparatus 10 includes a medical server 13 that generates a reflexive survey as a result of items of interest (such as abnormal or unexpected vital signs) in objective or subjective data reported from a patient interface device 11. The survey of the present invention reacts to objective results with the intent of probing into the patient's current condition. The patient survey of the present invention specifically probes why a patient's weight, blood pressure, or pulse rate, to name only a few examples, may be higher than expected. Various methods for determining the trigger conditions and the elimination of erroneously reported vital signs are set forth.

Abstract: A web-based management interface, program product for displaying system configuration information and method of providing system or subsystem configuration information, e.g., for a storage subsystem. A web displayable file, e.g., hypertext mark up language (HTML), is generated and updated to reflect current configuration data for a storage subsystem configuration. The web page, when displayed, includes a generation snapshot that is compared against a current generation indicator that is associated with a current HTML file. If they match, the displayed web page is current; otherwise, an updated HTML file is downloaded and displayed.

Abstract: An method and apparatus for determining and selecting configuration options and settings of circuit boards used in a computer system. The options and settings are placed in a file according to a given format, at which time the system determines if non-conflicting use of the common system resources is possible. The method and apparatus also provide for definable linking resources which further define relationships between various boards within a computer system and the allocation of common computer resources to the circuit boards. The method also decreases the time required for the computer to resolve linking resource and common computer resource allocation conflicts by processing only those resource requirements required to resolve the conflict.