Abstract: An image processing device includes a detecting unit configured to detect an external light reflection region from an input image, and a determining unit configured to determine the glossiness of said external light reflection region, and determines whether or not the reflection of the external reflection region is specular reflection, and extracts a gloss region based on the determination result.

Abstract: Provided are zeolite comprising a metal and an oxygen-activated metal complex, wherein the above oxygen-activated metal complex is included within a unit cell comprised in the above zeolite as well as a gas decomposition agent comprised of the above zeolite. Examples of the above oxygen-activated metal complex are phthalocyanine metal complex, a bis(salicylidene)-o-phenylenediamidinato metal complex and a metal complex comprising a cyclic tetrapyrrole compound as a ligand. Examples of metal of the above oxygen-activated metal complex are silver, copper, zinc, platinum, palladium, cobalt, iron, manganese, ruthenium and the like. The above gas decomposition agent has an effect capable of continuously decomposing gases that are harmful to the health or felt unpleasant by human.

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

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: An image processing apparatus includes the following elements. A broad-range feature extraction unit extracts broad-range features from pixels located in a predetermined area in relation to a subject pixel of a first image. A broad-range degree-of-artificiality calculator calculates, in a multidimensional space represented by the broad-range features, the broad-range degree of artificiality from the positional relationship of the broad-range features to a statistical distribution range of an artificial image of the first image. A narrow-range feature extraction unit extracts narrow-range features from pixels located in the predetermined area in relation to the subject pixel of the first image. A narrow-range degree-of-artificiality calculator calculates, in a multidimensional space represented by the narrow-range features, the narrow-range degree of artificiality from the positional relationship of the narrow-range features to a statistical distribution range of the artificial image.

Abstract: The present invention herein provides antibacterial zeolite particles whose ion-exchangeable ions have completely or partially been replaced with silver ions and zinc ions, wherein the ratio (A/B) of the silver ion concentration (A) to the zinc ion concentration (B) in the antibacterial zeolite particles increases in the direction along the depth of each zeolite particle. The antibacterial zeolite particles show excellent discoloration-resistant characteristics, while maintaining their excellent antibacterial activities. Accordingly, the antibacterial zeolite particles can suitably be applied to all sorts of products that are required to have antibacterial properties.

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: 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: An image processing apparatus includes a converter converting an interlace image including a first number of pixels into a first progressive image, an interpolator interpolating the first progressive image to generate a second progressive image including a second number of pixels, a classification unit classifying, in accordance with a feature of the second progressive image, into classes, subject pixels forming a third progressive image, which serves as a target image, including the second number of pixels and having a quality higher than the second progressive image, a storage unit storing a prediction coefficient for each of the classes obtained by conducting learning using a plurality of progressive images, each including the second number of pixels, and a computation unit performing computation using the second progressive image and the prediction coefficient for each of the classes to determine the third progressive image from the second progressive image.

Abstract: An image processing apparatus includes an interlace-progressive converter converting an interlace input image into a progressive intermediate image, a motion-vector detector detecting motion vectors of the input image by using a distance shorter than the pixel interval of the intermediate image, a cyclic-coefficient setting unit setting, on the basis of a vertical motion, a first cyclic coefficient for a first type of pixel and a second cyclic coefficient for a second type of pixel, a motion compensator motion-compensating, on the basis of the motion vectors, a past progressive output image to generate a motion-compensated image, and an output image generator generating a progressive output image by adding pixel values of the first type of pixels and the second type of pixels of the progressive intermediate image and the motion-compensated image by using the first cyclic coefficient and the second cyclic coefficient as weights.

Abstract: The present invention relates to antimicrobial zeolite which comprises zeolite wherein a hardly soluble zinc salt is formed within fine pores present therein and an antimicrobial composition which comprises the foregoing antimicrobial zeolite in an amount ranging from 0.05 to 80% by mass. The antimicrobial zeolite according to the present invention can widely be applied, without causing any color change, even to the goods which undergo color changes with the elapse of time when the conventional antimicrobial zeolite is added.

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: 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: 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: 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: 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: The present invention relates to a feed composition which contains silver-carrying zeolite and an animal-breeding method comprising the step of administering, to an animal, the foregoing silver-carrying zeolite-containing feed composition. The feed composition has almost no influence on the useful lactobacillus, but exerts an antimicrobial effect on various kinds of harmful microorganisms, in particular, bacteria belonging to the genus Salmonella or the like. Accordingly, the feed composition would permit the improvement of the healthiness of enteric canal of domestic animals, domestic fowls and cultivated fishes and the composition would in thus permit the acceleration of their growth, while maintaining their good healthiness.

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: 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: 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.