Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: A picture information converting apparatus for generating a plurality of output picture signals.

Abstract: A space resolution adjustment value and a time resolution adjustment value output uninterruptedly are changed when the user makes adjustments. From the adjustment values output to the testing terminal, an acquisition device acquires a final adjustment value through a series of adjustments of these adjustment values and an adjustment value in a process of changes all the way to this final adjustment value and transmits them to an accumulation device. The accumulation device stores a final adjustment value through each series of adjustment and history information related to a process of changes in adjustment value all the way to the final adjustment value. Based on the history information, reliability of the final adjustment value can be decided.

Abstract: An antibacterial composition is provided which comprises a base, an antibacterial agent consisting of a silver-supporting inorganic compound and a water-soluble salt of a nitrogen atom-containing 6-membered heterocyclic compound. In the antibacterial composition, the silver component susceptible to discoloration is effectively stabilized by the use of the water-soluble salt of a nitrogen atom-containing 6-membered heterocyclic compound and therefore, the antibacterial composition never or hardly undergoes any discoloration with the lapse of time.

Abstract: An interlaced input picture signal having a field frequency of 50 Hz is supplied. A class detecting circuit detects a class corresponding to a pattern of a level distribution of input pixels in the vicinity of an output pixel to be generated. A predictive coefficient set corresponding to the class is read from a predictive coefficient memory. Sum-of-product calculating circuits calculate data of an output picture signal using a linear estimating expression of predictive taps (pixels of an input picture signal) and predictive coefficient sets. The sum-of-product calculating circuits output pixel values M and S of an output picture signal having a field frequency of 50 Hz. The pixel values M and S that are output from the sum-of-product calculating circuits are converted into a signal having a frequency of 60 Hz by respective field memories. A selector alternately selects outputs of the field memories and generates an output picture signal (having a field frequency of 60 Hz).

Abstract: A motion determining apparatus for detecting a motion of a partial picture of an input picture signal is disclosed, that comprises a first motion detecting portion for comparing a frame difference detected for the partial picture with a predetermined threshold value and determining that the partial picture has a motion when the frame difference is larger than the threshold value, a second motion detecting portion for comparing a frame difference detected for the partial picture with a predetermined threshold value, comparing a field difference detected for the partial picture with a predetermined threshold value, and determining that there is a motion of an artificial picture when the frame difference and the field difference are larger than the respective threshold values, and an output portion for forming motion determination data with determination data that is output from the first motion detecting portion and the second motion detecting portion.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: A 525i (interlace) signal can be converted into a 1050i signal or a 525p (progressive) signal. A calculating circuit generates pixels of an output picture signal with a linear estimation expression of predictive taps received from a tap selecting circuit and a coefficient received from a coefficient memory. The coefficient memory stores coefficients pre-obtained for individual classes. A class is determined by combining a spatial class corresponding to spatial class taps received from a tap selecting circuit and motion class taps received from a tap selecting circuit. A line sequential converting circuit converts a scanning line structure of an output signal of the calculating circuit 34 and obtains an output picture signal. The output picture signal is designated with a conversion method selection signal. Information corresponding to the selection signal is loaded from an information memory bank to the coefficient memory and registers.

Abstract: A 525i (interlace) signal can be converted into a 1050i signal or a 525p (progressive) signal. A calculating circuit generates pixels of an output picture signal with a linear estimation expression of predictive taps received from a tap selecting circuit and a coefficient received from a coefficient memory. The coefficient memory stores coefficients pre-obtained for individual classes. A class is determined by combining a spatial class corresponding to spatial class taps received from a tap selecting circuit and motion class taps received from a tap selecting circuit. A line sequential converting circuit converts a scanning line structure of an output signal of the calculating circuit 34 and obtains an output picture signal. The output picture signal is designated with a conversion method selection signal. Information corresponding to the selection signal is loaded from an information memory bank to the coefficient memory and registers.

Abstract: A picture information converting apparatus for generating an output picture signal with a different scanning line structure from an input picture signal is disclosed, that comprises a first picture data selecting means for selecting adjacent pixels with a predetermined relation of positions to a plurality of considered points with a different relation of positions to scanning lines of the input picture signal, a spatial class detecting means for detecting a pattern of a level distribution from picture data selected by said first picture data selecting means and determining spacial class values that represent spatial classes of the considered points corresponding to the detected pattern, a second picture data selecting means for selecting the considered points and adjacent pixels with the predetermined relation of positions to the considered points from the input picture signal, a calculating process means for performing a calculating process for predicting and generating pixels at positions with a predetermin

Abstract: A field-by-field vertical inverter selectively performs a vertical inverting process for an input picture signal for each field as a function of the relationship between the type of the input picture signal and the type of the output picture signal. A picture extractor extracts picture data at a predetermined position of the vertical inverting processed input picture signal. A class code is generated as a function of the extracted picture data, and this extracted picture data is used with conversion information data that is stored for each class code to generate the output picture signal.

Abstract: A first condition determining portion 6 determines whether or not a picture moves corresponding to inter-field variations of space variation amounts SG (t), SG (t−1), and SG (t+1). A second condition determining portion 7 determines whether a picture moves corresponding to inter-field differences FiGu (t−1), FiGu (t), FiGd (t−1), and FiGd (t). A third condition determining portion 8 determines whether or not a picture moves corresponding to a ratio gf of the inter-frame difference FrG to the space variation amount SG (t). When one of the first to third conditions is satisfied, an OR gate 9 outputs data “1” that represents that a picture moves.

Abstract: A motion determining apparatus for detecting a motion of a partial picture of an input picture signal is disclosed, that comprises a first detecting means for detecting a frame difference of the partial picture, a second detecting means for detecting a spatial activity of the partial picture, a threshold value generating means for generating a first threshold value, a second threshold value, and a third threshold value, a comparing means having at least a first comparing portion for comparing the frame difference detected by said first detecting means with the first threshold value and a second comparing portion for comparing the frame difference detected by said first detecting means with the second threshold value, a third comparing means for comparing the spatial activity detected by said second detecting means with the third threshold value, and a motion class determining means for receiving the compared results of said first comparing portion, said second comparing portion, and said third comparing means

Abstract: An ADRC circuit 3 generates spatial classes with SD data extracted by an area extracting circuit 2. A moving class determining circuit 5 generates a moving class with SD data extracted by an area extracting circuit 4. A class code generating circuit 6 generates a class code with the spatial class and the moving class. A tap decreasing ROM 7 supplies additional code data for each class code to a tap decreasing code 10. The additional code data is used to decrease taps of SD data. The tap decreasing circuit 10 decreases the SD data extracted by an area extracting circuit 9. A prediction calculating circuit 11 receives coefficient data corresponding to the class code from a ROM table 8 and obtains HD data with the decreased SD data corresponding to a linear prediction equation.

Abstract: In an image signal converting method and an image signal converting apparatus, it is possible to perform a proper classification considering various signal characteristics of input image data and convert low-resolution input image data to high-resolution image data by using not only a classifying means 56 for classifying input images in accordance with the level distribution pattern of the input images but also a classifying means 50 for classifying input images in accordance with the movement of the input images and deciding the final class D32 of input image signals by both CLASS0 and CLASS1 obtained by both classifying means 50 and 56.

Abstract: An input digital image signal (SD signal) is converted into a high resolution digital video signal (HD signal). A considered pixel is categorized as a class corresponding to a one-dimensional, two-dimensional, or three-dimensional level distribution of a plurality of reference pixels of the SD signal. A predicted value of the considered pixel is generated by linear combination of values of a plurality of pixels of the SD signal adjacent to the considered pixel of the HD signal and predicted coefficients that have been learnt. In the learning process, predicted coefficients are determined by linear combination of the values of pixels of the SD signal and the predicted coefficients so that the sum of squares of the predicted value and the true value is minimized. Instead of the predicted coefficients, representative values may be determined for each class. In this case, the representative values are used as predicted values corresponding to the class of the input SD signal.

Abstract: The cosmetic composition is disclosed by blending at least an antibacterial zeolite, having all or part of its ion exchangeable ions substituted by ammonium ions and antibacterial metal ions, and silicone.

Abstract: An input digital image signal (SD signal) is converted into a high resolution digital video signal (HD signal). A considered pixel is categorized as a class corresponding to a one-dimensional, two-dimensional, or three-dimensional level distribution of a plurality of reference pixels of the SD signal. A predicted value of the considered pixel is generated by linear combination of values of a plurality of pixels of the SD signal adjacent to the considered pixel of the HD signal and predicted coefficients that have been learnt. In the learning process, predicted coefficients are determined by linear combination of the values of pixels of the SD signal and the predicted coefficients so that the sum of squares of the predicted value and the true value is minimized. Instead of the predicted coefficients, representative values may be determined for each class. In this case, the representative values are used as predicted values corresponding to the class of the input SD signal.

Abstract: An amount-of-movement detection device which is capable of detecting the amount of movement with a high degree of accuracy when the amount of movement of an image is detected by hierarchical block matching method. An amount-of-movement detection device 1 forms image data S2.sub.n and S3.sub.n of plural hierarchies having different resolutions from each other, by input image S1.sub.n input at a first point in time, and forms multiplexed image data S2.sub.n-1 and S3.sub.n-1 of a higher hierarchy of low resolution, based on an input image S1.sub.n-1 input at a second point in time, by selecting pixels overlapping with each other from the image data of the lower hierarchy having higher resolution and reducing them in size, in order to detect a motion vector by block matching at a predetermined block unit for each of the hierarchies corresponding to the hierarchized image data S2.sub.n and S3.sub.n and the multiplexed and hierarchized image data S2.sub.n-1 and S3.sub.n-1.

Abstract: An antibiotic film comprises at least one organic polymeric film containing antibiotic zeolite, in which the content of the antibiotic zeolite is 10 to 100 mg per 1 m.sup.2 of the organic polymeric film and the thickness of the organic polymeric film is not more than 15 microns and an antibiotic laminated film comprises a substrate, at least one side of which is laminated with the aforementioned antibiotic film. These films exhibit excellent antibiotic action although they contain rather small amount of antibiotic zeolite and the films also exhibit high transparency. These films can be used as materials for packaging foods, medical equipments and accessories and the like.