Abstract: A synthetic adsorbent, where a maximum value of a differential pore volume under a pressure condition of 0.5 to 30.0 psia is greater than 0.05 mL/g. A method of measuring the differential pore volume includes reducing a pressure in a sample container where the synthetic adsorbent that has been dried is placed to 10 Pa or less, mercury is degassed by reducing the pressure to 10 Pa or less, and the sample container is filled with the mercury at a pressure of 0.5 psia, measuring a mercury intrusion amount when the pressure in the sample container filled with the mercury is increased from 0.5 to 30.0 psia, and calculating the differential pore volume by dividing an amount of an increase in the mercury intrusion amount when a first-stage pressure calculated based on the mercury intrusion amount measured in the measuring is increased, by a measured amount of the synthetic adsorbent.

Abstract: The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.

Abstract: The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.

Abstract: The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.

Abstract: The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.

Abstract: The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.

Abstract: The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.

Abstract: The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.

Abstract: The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.

Abstract: The method and the apparatus for correcting images extract one or more features including information about face region for each of photographed images, classify the photographed images into groups of particular photographed images having at least one common feature in accordance with at least one of the extracted one or more features, calculate, for the particular photographed images that have been classified in one group, a common correction amount for adjusting the face region to have an appropriate color density in accordance with the extracted one or more features and a type of the one group and correct the particular photographed images belonging to the one group by the calculated common correction amount.

Abstract: A person image correcting apparatus and a person image correcting method that reproduce face colors of persons in an image group consisting of a plurality of images shot under identical shooting conditions, with an appropriate color and/or density, prevent variations in the background colors, and effectively perform correcting process, even if the image group contains an image of a person having a significantly different face color from other persons, are proposed. Two or more display images that are different in face color are selected from the plurality of person images, based on a feature amount in a face region, and displayed. When a modification value of color or density is inputted, all of the display images are corrected using the inputted modification value, and the corrected images are redisplayed. When an instruction for confirming the modification value is inputted, all of the plurality of person images are corrected and outputted.

Abstract: The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.

Abstract: The electronic camera has an imaging device that images a subject with subject reflectance R (%) with a dynamic range wider than that at displaying or printing to acquire image data and a recording device that converts the image data acquired by the imaging device with a predetermined function and records the converted image data and the information on the function as digital values (digit). Therefore, a printed image with an automatically or manually corrected density can be obtained at the displaying or the printing.

Abstract: A person image correcting apparatus and a person image correcting method that reproduce face colors of persons in an image group consisting of a plurality of images shot under identical shooting conditions, with an appropriate color and/or density, prevent variations in the background colors, and effectively perform correcting process, even if the image group contains an image of a person having a significantly different face color from other persons, are proposed. Two or more display images that are different in face color are selected from the plurality of person images, based on a feature amount in a face region, and displayed. When a modification value of color or density is inputted, all of the display images are corrected using the inputted modification value, and the corrected images are redisplayed. When an instruction for confirming the modification value is inputted, all of the plurality of person images are corrected and outputted.

Abstract: The method and the apparatus for correcting images extract one or more features including information about face region for each of photographed images, classify the photographed images into groups of particular photographed images having at least one common feature in accordance with at least one of the extracted one or more features, calculate, for the particular photographed images that have been classified in one group, a common correction amount for adjusting the face region to have an appropriate color density in accordance with the extracted one or more features and a type of the one group and correct the particular photographed images belonging to the one group by the calculated common correction amount.

Abstract: For enabling a change in lighting pattern in an image, adjustment of a shadow pattern is aimed at in an image. For this purpose, a parameter acquisition unit obtains weighting parameters representing the shadow pattern in a face region in the image by fitting to the face region detected by a face detection unit a mathematical model generated by a method of AAM using a plurality of sample images representing human faces in different lighting conditions. A shadow pattern adjustment unit adjusts the shadow pattern in the face region based on the weighting parameters having been obtained.

Abstract: Color correction and density correction are performed on an image without changing the gradation of an image. When color correction and density correction are performed on image data whose values for each R, G, B component color (each channel) of each pixel are coded according to predetermined characteristics, the image data is sampled and correction values are calculated. The image data is then converted (104) to image receptor reflectivity data (r, g, b) (converted to values whose relationship with the light intensity values of each pixel is linear). The image data is then further converted to tristimulus values data (X, Y, Z) and color correction and density correction are carried out. The tristimulus values data after correction (X?, Y?, Z?) is then converted to image receptor reflectivity data (r?, g?, b?) and then to image data (R?, G?, B?). Accordingly, color and density corrected image data can be obtained without the gradation of the image being changed.

Abstract: A method of treating photographic processing wastes is disclosed. The method comprises (1) mixing a silver-recovery system waste and a development system waste from photographic processing to produce a waste mixture, (2) adding to said waste mixture phosphorus as a nutritive substrate in an amount corresponding to at least 2% based on the COD value of the waste mixture, and (3) subjecting the resulting waste mixture to a bio-oxidation treatment using microflora containing sulfur-oxidizing bacteria. The method enables a continuously treatment of high concentration photographic processing wastes with high efficiency over a long period of time.