Image processing apparatus and control method
An image processing device and image data technology, applied in image data processing, image data processing, image communication, etc., can solve the problem that the actual size becomes too large
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no. 1 example
[0037] A first embodiment of the present invention will be described as follows. According to the image processing apparatus of this embodiment, in an environment of printing black-and-white image data generated from original color image data, it is possible to generate a barcode including color difference data from brightness data and color difference data in the original color image data, and to print Black and white image data is output together with the generated barcode. In addition, the image processing apparatus according to the present embodiment can read a black-and-white printed matter printed with a barcode containing color difference data by using a document reading apparatus such as a scanner, and can Black and white image data to restore the original color image data.
[0038] By including only color difference data instead of barcodes including all color data, the data volume of barcodes can be substantially reduced.
[0039] First, a printing system including...
no. 2 example
[0139] In the above-mentioned first embodiment, in step 705, the CPU replaces the color difference data obtained by scanning with the color difference data included in the digital watermark image data.
[0140] More specifically, the CPU changes the color difference data of each pixel in the unit area obtained by scanning to a representative value of the color difference data included in the digitally watermarked image data as the color difference data in the unit area.
[0141] For the following reason, in the second embodiment, the CPU executes the processing in FIG. 11 instead of executing the processing of step 705 in the first embodiment. The reason will be briefly explained below with reference to FIG. 10 .
[0142] Referring to FIG. 10 , the region 5 in the image shown in FIG. 10 includes blue pixels, red pixels and green pixels.
[0143] Figure 10 illustrates an example of a 48×48 pixel image. Here, the area 5 is a unit area of 16×16 pixels. Areas 1 to 4 and areas...
no. 3 example
[0171] According to the second embodiment, the fact obtained from experiments or experiences is utilized in the system for restoring color image data: in a read image (black and white image), the part where the brightness changes is usually the part where the color changes . However, as described in the second embodiment, using this method may also fail.
[0172] In this regard, the third embodiment executes the processing in FIG. 13 instead of the processing in FIG. 11 to reduce the probability of failure and improve the accuracy of restoring color image data. More specifically, in the example of FIG. 13 , an edge extracting unit 1301 and a reference range defining unit 1302 which are not included in the configuration of FIG. 11 are provided.
[0173] The edge extraction unit 1301 performs processing to extract edges, and extracts edge information from the received divided luminance data. Here, the divided luminance data received from the area dividing unit 1101 is used. H...
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