Abstract: Disclosed is a method for monitoring a production process using limit values for a technical parameter of units produced by the production process or for a technical parameter of the production process. The values of the technical parameter of units produced by a production process or of a technical parameter of a production process are distributed according to an underlying distribution. The distribution is characterized by an asymmetric probability density function (700) or by an asymmetric cumulative distribution function (CDF). The method comprises: comparing at least one value of the technical parameter with an interval that is asymmetric with regard to a characteristic value of the distribution, and monitoring the production process based on the result of the comparison.

Abstract: Disclosed is a method of determining at least one tolerance band limit value for a technical variable under test. The method includes obtaining the at least one tolerance band limit value from sample tolerance band limit values of different samples, wherein the samples comprise values of the technical variable under test of the associated sample, wherein obtaining the at least one tolerance band limit value comprises using a location measure of a distribution according to which the sample tolerance band limit values are distributed, wherein the technical variable under test is distributed according to an underlying extreme value distribution function, wherein each of the sample tolerance band limit values is calculable using a sample-specific conditional probability distribution function which is a function of sample values of the sample, and wherein the technical variable relates to a physical characteristic of a product that is producible in an industrial mass production process.

Abstract: Disclosed is a method for determining a limit, comprising: providing a plurality of sample values, wherein the sample values define a sample value distribution, the sample values being values of a technical parameter related to a sample, wherein the sample items are parts of drug delivery devices, wherein the sample items are of the same construction, and wherein the technical parameter is limited by at least one technical limit value, depending on the technical parameter and/or the sample values, choosing a probability distribution function, using the technical limit value to determine a cutoff value for the probability distribution function, specifying a probability content for the tolerance interval, and providing the limit of the tolerance interval for the technical parameter based on a transformed probability content, wherein said transformed probability content is based on the cutoff value and based on the specified probability content.

Abstract: The present invention relates to processing an image by using a statistical property of a reference image. An image enhancing apparatus according to the present invention includes: a first image processing unit (120) and a second processing unit (130) which receive an input image, receive statistical properties of a difference image, generate a filter based on the statistical properties of the difference image which have been received by the property receiving unit, and apply the filter to the input image so as to generate a filtered image; and an adder (140) which adds the filtered image to the input image so as to generate an output image.

Abstract: The present invention relates to block-wise coding and decoding of a video signal including at least two color components. The first component is coded by using prediction and the second component is segmented to different parts used for its coding according to the prediction error.

Abstract: The image processing device includes: a specular reflection detector (1110) configured to detect, in a first image, an enlarged region including a saturated region and an adjacent region, the saturated region being a pixel region having a pixel value equal to or larger than a predetermined threshold, and the adjacent region at least partially surrounding the saturated region; and a replacement unit (1130) configured to replace a pixel value of a pixel included at least in the adjacent region, with one of (i) a pixel value of a pixel in a region of a second image that is located at a position corresponding to a position of the enlarged region in the first image and (ii) a pixel value of a pixel adjacent to the pixel in the second image, the adjacent region being included in the enlarged region detected by the specular reflection detector (1110).

Abstract: The present invention relates to processing an image by using a statistical property of a reference image. An image enhancing apparatus according to the present invention includes: a first image processing unit (120) and a second processing unit (130) which receive an input image, receive statistical properties of a difference image, generate a filter based on the statistical properties of the difference image which have been received by the property receiving unit, and apply the filter to the input image so as to generate a filtered image; and an adder (140) which adds the filtered image to the input image so as to generate an output image.

Abstract: The present invention prevents coding artifacts caused in applying image enhancement technologies to pictures that have been encoded and then decoded. A video decoder (200) decodes an encoded stream generated by encoding a prediction error that is a difference between an original image and a prediction image. The video decoder (200) includes: an entropy decoding unit (231) decoding the prediction error in the encoded stream; an adder (244) adding the decoded prediction error to a previously-generated decoded image to generate a decoded image; an image enhancement unit (260) performing a process of enhancing image quality of the generated decoded image to generate an enhanced image; and a mask construction unit (240) determining a weight coefficient for each image area based on the decoded prediction error. The image enhancement unit (260) generates an output image by computing a weighted sum of the decoded image and the enhanced image in accordance with the determined weight coefficient.

Abstract: The present invention has been conceived to solve the previously described problems, and provides a texture representation method without any unnatural feeling while performing data compression equivalent to a conventional data compression or more. An input signal is separated in two frequency domains. The low-frequency component is faithfully coded by a conventional image/video coding apparatus. The high-frequency component is analyzed to compute representative texture parameters. Instead of faithfully coding the high-frequency component, only the computed texture parameters are stored or transmitted to a decoding apparatus. Then, the low-frequency component is reconstructed, whereas the high-frequency component is replaced by a natural texture that has been synthesized according to the texture parameters. The reconstructed low-frequency component and the synthesized high-frequency component are merged to generate an output signal.