Abstract: Method, device, and program for solving the problem where a conventional image restoration method based on Bayesian probability theory uses nonlinear equations and requires a plurality of convolution operations, thereby not being appropriate for a single interaction multiple data-type (SIMD) super parallel computation processing device. This provides a method in which a computer causes a SIMD super parallel computation device to assign operations which include one convolution operation based on a Bayesian probability theory linear equation; a device based on the method; first and third programs for causing a computer to execute the program, and second and fourth programs for configuring the device to the computer and causing the device to run; and storage mediums for storing the programs. Optical degradation contained in TV video and images is reduced thereby restoring the TV video and images to a state close to the pre-degradation state of the TV video and images.

Abstract: An object of the present invention is to provide a method, a device, programs, and storage media for solving a problem that it is impossible to losslessly compress a digital image while being encrypted, to transmit the digital image, and to expand the digital image at a receiving side to restore the digital image with no artifact. An image or video is subjected to discrete convolution with an encryption key image, to be defocused beyond recognition, thus being encrypted, is further subjected to entropy-coding lossless compression, and is transmitted over the Internet. The compressed image or video is expanded at a receiving side, and iterative operations are performed on the basis of a Bayse probabilistic formula by using the separately-delivered encryption key image, to restore the image or video before encryption.

Abstract: A 70,000-gate device and method which provide substantially real-time TV video images that are similar to pre-degradation original images by: setting luminance distribution of a degraded image and an estimated luminance distribution of initial values of a reconstructed image for one frame of TV video images; using a first PSF luminance distribution in a first-time iterative calculation, said first PSF luminance distribution having been specified in accordance with the degree of degradation of the degraded image; using a second PSF luminance distribution in a second-time iterative calculation; and while setting a reconstructed image estimated luminance distribution from the first-time iterative calculation as a second-time estimated luminance distribution of the initial values of the reconstructed image, performing the second-time iterative calculation in an image reconstructioner which determines, in the luminance distribution of the degraded image, the most likely estimated luminance distribution of the reco

Abstract: In order to solve the problems described above, the present invention employs a PSF restoring means and an image restoring means, implemented in software or hardware, for executing a plurality of iterations of real-number-based computations based on Bayse probability theory by using, as input information, a PSF luminance distribution identified according to a degree of degradation of TV video, a luminance distribution of a degraded image constituted of Y (luminance) components of the TV video, and an estimated luminance distribution of restored-image initial values. With these means, an estimated luminance distribution of a restored image having a maximum likelihood for the luminance distribution of the degraded image is obtained, and the estimated luminance distribution is substituted for the Y components of the TV video obtained by extracting the luminance distribution of the degraded image. Accordingly, TV video that approximates the pre-degradation state is provided substantially in real time.

Abstract: A 70,000-gate device and method which provide substantially real-time TV video images that are similar to pre-degradation original images by: setting luminance distribution of a degraded image and an estimated luminance distribution of initial values of a reconstructed image for one frame of TV video images; using a first PSF luminance distribution in a first-time iterative calculation, said first PSF luminance distribution having been specified in accordance with the degree of degradation of the degraded image; using a second PSF luminance distribution in a second-time iterative calculation; and while setting a reconstructed image estimated luminance distribution from the first-time iterative calculation as a second-time estimated luminance distribution of the initial values of the reconstructed image, performing the second-time iterative calculation in an image reconstructioner which determines, in the luminance distribution of the degraded image, the most likely estimated luminance distribution of the reco

Abstract: An object of the present invention is to provide a method, a device, programs, and storage media for solving a problem that it is impossible to losslessly compress a digital image while being encrypted, to transmit the digital image, and to expand the digital image at a receiving side to restore the digital image with no artifact. An image or video is subjected to discrete convolution with an encryption key image, to be defocused beyond recognition, thus being encrypted, is further subjected to entropy-coding lossless compression, and is transmitted over the Internet. The compressed image or video is expanded at a receiving side, and iterative operations are performed on the basis of a Bayse probabilistic formula by using the separately-delivered encryption key image, to restore the image or video before encryption.

Abstract: The present invention provides a technology which can perform a precise restoration to a distribution of original information by carrying out an iterative calculation using only a distribution of degraded information. The method according to the present invention performs the restoration to original information based only on degraded information. The method according to the present invention considers the distribution of the degraded information and the distribution of the original information as distributions of probability density functions, and considers a transfer function of a transfer system as a probability density function of a conditional probability.