Abstract: Each rear pillar (4) includes a rear pillar inner panel (33) and a rear pillar reinforcement (34). The rear pillar inner panel (33) and the rear pillar reinforcement (34) each include a substantially L-shaped corner portion (C1, C2) raised toward the rear pillar inner panel (33), and a ridge portion (X1, X2). The corner portions (C1, C2) are arranged next to each other in the direction toward a reinforcement (50), and an L-shaped closed cross section (40) is formed between the corner portions (C1, C2). The reinforcement (50) is, not via the closed cross section, directly connected to the corner portions (C1, C2). An upper portion of the L-shaped closed cross section (40) is connected to a closed rear header cross section (19).

Abstract: Each rear pillar (4) includes a rear pillar inner panel (33) and a rear pillar reinforcement (34). The rear pillar inner panel (33) and the rear pillar reinforcement (34) each include a substantially L-shaped corner portion (C1, C2) raised toward the rear pillar inner panel (33), and a ridge portion (X1, X2). The corner portions (C1, C2) are arranged next to each other in the direction toward a reinforcement (50), and an L-shaped closed cross section (40) is formed between the corner portions (C1, C2). The reinforcement (50) is, not via the closed cross section, directly connected to the corner portions (C1, C2). An upper portion of the L-shaped closed cross section (40) is connected to a closed rear header cross section (19).

Abstract: A local density calculation section calculates a density of a pixel region with a predetermined size including a current point of an input image disposed at the center on the basis of a pixel value of the pixel region. A mixing ratio calculation section generates a coefficient set of coefficients ? and ? in accordance with a local density value calculated by the local density calculation section, and outputs the generated coefficients ? and ? to a weight process section. The weight process section multiplies an operation result obtained from the input image by a first filter operation section by the coefficient ?, multiplies an operation result obtained from the input image by a second filter operation section by the coefficient ?, adds the multiplied results to each other and outputs the result of addition as a process result of a spatial filter process section.

Abstract: In the case where an output value of a document reading section for at least any of R, G and B is out of a range between a first reference value and a second reference value due to a change in an output value of a reading device caused by an electrical noise, a change of supply voltage, etc. when a document is being read, a second color conversion table is created in accordance with the above change by expanding ranges in a first color conversion table, which ranges are around predetermined first and second reference values and included in regions of RGB color system associated respectively with predetermined tone values of Y, M and C. Using the second color conversion table thus obtained, a color conversion is carried out from the RGB color system into the YMC color system.

Abstract: An image processing apparatus includes: a document type automatic classification section which determines whether input image data is image data for a text document or not; a newspaper document classification section which determines whether the input image data is image data for a newspaper document or not; a segmentation process section which identifies a page-background region in the input image data; and a color correction section for, if the input image data is classified as the text document and but not the newspaper document and if a page-background removal process is to be performed to the input image data, performing a first page-background removal process to the image data, but if the input image data is classified as the text document and the newspaper document, not performing the first page-background removal process to the image data. This makes it possible to prevent deterioration of visual sharpness of the text in the document image printed on the newspaper.

Abstract: An image processing apparatus of the present invention includes: a signal correction means which corrects, in an RGB color space, RGB tone data which is RGB image data; and a comparison section which compares (i) a tonal value of a white point which is neither an origin nor maximum tonal values of R, G, and B in the RGB color space, and where tonal values of R, G, and B are identical to one another, with (ii) respective tonal values of R, G, B of the RGB tone data. (A) In case where the tonal values of R, G, and B are determined to be larger than the white point, the signal correction means corrects the tonal values of R, G, and B to be close to the white point. (B) In case where the tonal values of R, G, and B of the RGB tone data is determined to be smaller than the white point, the signal correction section corrects they tonal values of R, G, and B of the RGB tone data to be away from the white point.

Abstract: A local density calculation section calculates a density of a pixel region with a predetermined size including a current point of an input image disposed at the center on the basis of a pixel value of the pixel region. A mixing ratio calculation section generates a coefficient set of coefficients ? and ? in accordance with a local density value calculated by the local density calculation section, and outputs the generated coefficients ? and ? to a weight process section. The weight process section multiplies an operation result obtained from the input image by a first filter operation section by the coefficient ?, multiplies an operation result obtained from the input image by a second filter operation section by the coefficient ?, adds the multiplied results to each other and outputs the result of addition as a process result of a spatial filter process section.

Abstract: An image processing apparatus includes: a document type automatic classification section which determines whether input image data is image data for a text document or not; a newspaper document classification section which determines whether the input image data is image data for a newspaper document or not; a segmentation process section which identifies a page-background region in the input image data; and a color correction section for, if the input image data is classified as the text document and but not the newspaper document and if a page-background removal process is to be performed to the input image data, performing a first page-background removal process to the image data, but if the input image data is classified as the text document and the newspaper document, not performing the first page-background removal process to the image data. This makes it possible to prevent deterioration of visual sharpness of the text in the document image printed on the newspaper.

Abstract: In the case where an output value of a document reading section for at least any of R, G and B is out of a range between a first reference value and a second reference value due to a change in an output value of a reading device caused by an electrical noise, a change of supply voltage, etc. when a document is being read, a second color conversion table is created in accordance with the above change by expanding ranges in a first color conversion table, which ranges are around predetermined first and second reference values and included in regions of RGB color system associated respectively with predetermined tone values of Y, M and C. Using the second color conversion table thus obtained, a color conversion is carried out from the RGB color system into the YMC color system.

Abstract: Image processing method and image processing apparatus capable of reducing data volume further after JPEG compression are provided. RGB data is first converted into YUV data, and then scale conversion of luminance value and color-difference value of the YUV data is performed. Discrete cosine transform of the scale-converted YUV data is performed, and the data after the discrete cosine transform is coded into a Huffman code.

Abstract: An image processing apparatus of the present invention includes: a signal correction means which corrects, in an RGB color space, RGB tone data which is RGB image data; and a comparison section which compares (i) a tonal value of a white point which is neither an origin nor maximum tonal values of R, G, and B in the RGB color space, and where tonal values of R, G, and B are identical to one another, with (ii) respective tonal values of R, G, B of the RGB tone data. (A) In case where the tonal values of R, G, and B are determined to be larger than the white point, the signal correction means corrects the tonal values of R, G, and B to be close to the white point. (B) In case where the tonal values of R, G, and B of the RGB tone data is determined to be smaller than the white point, the signal correction section corrects they tonal values of R, G, and B of the RGB tone data to be away from the white point.

Abstract: An image forming apparatus including a developing unit for stocking a developing agent containing toner and forming a toner image on a photosensitive medium with the developing agent, a toner supply unit for supplying the toner to the developing unit, a toner specific concentration detecting unit for detecting the toner specific concentration of the developing agent stocked in the developing unit, a humidity detecting unit for detecting humidity in the neighborhood of the developing unit, a storage unit for storing the humidity information detected by the humidity detecting unit, and a toner specific concentration correcting unit for controlling the toner supply amount of the toner supply unit on the basis of the humidity information stored to correct the toner specific concentration, wherein the toner specific concentration correcting unit compares newly-detected humidity with reference humidity corresponding to the humidity which is detected at the time when the developing agent is stocked into the developi