Image processing device providing improved image data processing by converting original image into a plurality of pixels and analyzing density data of each pixel

Claim 2

An image processing device for processing image data of an image including an image portion and a background portion which has no image thereon to subdivide the image into a plurality of pixels, said image data including density data representing density of each of said pixels, said image processing device comprising: first detection means for detecting density of the background portion of the image; second detection means for detecting density of the image portion of the image; means for determining background density data based on the detected density of the background portion and determining density coefficient data based on the detected density of the image portion; background color removal means for decreasing a value of said density data based on said background density data so that any color in the background portion is removed; and density correction means for amplifying a value of said density data decreased by said background color removal means based on said density coefficient data.

Claim 3

The image processing device in accordance with claim 1, wherein said background color removal means substantially converts into "0" a value of said density data having density equal to or lower than density corresponding to said background density data.

Claim 4

The image processing device in accordance with claim 1, wherein said first detection means includes minimal density detection means for detecting minimal density in each section into which the image is divided, and then calculating an average of minimal densities of the sections to obtain the density of the background portion.

Claim 5

The image processing device in accordance with claim 1, wherein said second detection means includes maximal density detection means for detecting maximal density in each section into which the image is divided, and then calculating an average of maximal densities of the sections to obtain the density of the image portion.

Claim 6

The image processing device in accordance with claim 1, wherein said first detection means includes minimal density detection means for detecting minimal density in each section into which the image is divided and then calculating an average of minimal densities of the sections to obtain the density of the background portion, and said second detection means includes maximal density detection means for detecting maximal density in each section into which the image is divided and then calculating an average of maximal densities of the sections to obtain the density of the image portion.

Claim 7

An image processing device for processing image data of an image including an image portion and a background portion which has no image thereon to subdivide the image into a plurality of pixels, said image data including density data representing density of each of said pixels by digital signal, said image processing device comprising: minimal density detection means for detecting density of a minimal density portion of the image; maximal density detection means for detecting density of a maximal density portion of the image; determining means for determining background density data of said background portion based on the detected density of the minimal density portion and determining density coefficient data based on the detected density of the maximal density portion; background color removal means for decreasing a value of said density data based on said background density data so that any color in the background portion is removed; and density correction means for amplifying a value of said density data decreased by said background color removal means based on said density coefficient data so that the value of the density data of the maximal density portion are converted into an uppermost level of the digital signal.

Claim 8

An image processing device for processing image data of an image including an image portion and a background portion which has no image thereon to subdivide the image into a plurality of pixels, said image data including density data representing density of each of said pixels by digital signal, said image processing device comprising: minimal density detection means for detecting density of a minimal density portion of the image; maximal density detection means for detecting density of a maximal density portion of the image; determining means for determining background density data of said background portion based on the detected density of the minimal density portion and determining density coefficient data based on the detected density of the maximal density portion; background color removal means for decreasing a value of said density data based on said background density data so that any color in the background portion is removed; and density correction means for amplifying a value of said density data decreased by said background color removal means based on said density coefficient data so that the value of the density data of the maximal density portion are converted into an uppermost level of the digital signal.

Claim 9

The image processing device in accordance with claim 6, wherein said minimal density detection means detects density of minimal density portion in each section into which the image is divided, and said maximal density detection means detects density of maximal density portion in each section into which the image is divided, and said determining means calculates averages of the minimal densities and maximal densities of the sections to obtain the background density data and density coefficient data.