An image processing apparatus performs: acquiring target image data representing a target image including a plurality of pixels, the target image data including a plurality of sets of component image data representing respective ones of a plurality of component images; smoothing the plurality of component images to generate respective sets of a plurality of sets of smoothed component image data representing respective ones of a plurality of smoothed component images; enhancing an edge in each of the plurality of smoothed component images to generate corresponding one set of a plurality of sets of enhanced component image data; generating single-component image data including one type of component value corresponding to each of the plurality of pixels by using the plurality of sets of enhanced component image data; and specifying a plurality of edge pixels using the single-component image data, the plurality of edge pixels constituting an edge in the target image.

To detect an image region to be an object of thinning processing appropriately and through the use of simple processing. An image processing apparatus detects a line region being a region sandwiched by white pixel regions and consisting only of a non-white pixel region, and detects a thinning candidate region being a region sandwiched by black pixel regions in the line region. A thinning region is detected from the inside of the thinning candidate region.

An original image is read as an aggregate of a plurality of pixels in which adjacent pixels have different colors (R, G, and B) in a main scanning direction and in a sub-scanning direction, and the read pixels of the respective colors are stored in a line memory in association with information on relative positions of the pixels with respect to another pixel. Then, the stored pixels are sorted so that pixels having the same color are adjacent to each other, and an abnormal pixel (dust) not present in the original image is detected based on the state of the sorted pixels. With this, the dust not present in the original image is detected without increasing the cost, and the dust is corrected without forming a conspicuous trace of correction.

An image processing apparatus 100 is provided with a converter 102 to convert a first color image into lightness information and color information other than the lightness information, a lightness compressor 104 to generate compressed lightness information obtained by decimating a pixel value from the lightness information, a reconverter 106 to combine the compressed lightness information and the color information to generate a second color image, an edge extractor 108 to extract an edge included in the first color image, and a pixel value changer 110 to change a pixel value at a position of the edge in the second color image while maintaining similar colors, to generate a third color image.

An image processing method and device, a computer-readable storage medium and an electronic device are provided. The method includes that: through a first processing unit of a terminal, an image to be processed is acquired and send to a third processing unit of the terminal, a facial feature parameter is acquired according to the image to be processed and sent to a second processing unit of the terminal; through the second processing unit, an environmental parameter corresponding to the image to be processed is acquired, a target beauty parameter is acquired according to the facial feature parameter and the environmental parameter, and the target beauty parameter is sent to the third processing unit; and through the third processing unit, the target beauty parameter is received, the image to be processed is received, and beauty processing is performed on the image to be processed according to the target beauty parameter.

An image reading device includes: a scanner having characteristics of causing a distorted sine wave being formed by its obtained image data and being represented as an array of shade values arranged in a main scanning direction; a reference member to be scanned; a hardware processor that: obtains a shade value at each main scanning coordinate from shading reference data obtained from the reference member; detects the start and end position of a distorted waveform range in the shading reference data; defines the start and end position of a target range as the main scanning coordinates of two peaks, the two peaks being in a distorted sine wave formed by the shading reference data, the two peaks being within a predetermined reference distance to the right and left of the start and end position; and replaces a part of data in the target range with a substitute part of data.

An offline document de-identification apparatus and method, and an offline document restoration apparatus, are disclosed. The offline document de-identification apparatus may include an image obtainer acquiring offline document as an image, a document area detector detecting a document area in the acquired image, a de-identifier performing de-identification on a first area which is an area including the personal information in the document area, and a printer outputting document including the de-identified first area.

Methods and systems for thickening an interior region of a fill object are described. The method includes receiving a print job including an input image, and converting into a digital bitmap image comprised of an array of pixels, each pixel being assigned with a pixel value and an object tag information. Based on this, each pixel is defined as one of a boundary pixel of the input image, an edge pixel of the fill object in the input image, and an interior pixel of the fill object. Thereafter, the fattening of the edge pixels of the fill object, is followed by the fattening of the interior pixels of the fill object, for applying thickening to the interior region. After this, an output image is generated.

An original image is read as an aggregate of a plurality of pixels in which adjacent pixels have different colors (R, G, and B) in a main scanning direction and in a sub-scanning direction, and the read pixels of the respective colors are stored in a line memory in association with information on relative positions of the pixels with respect to another pixel. Then, the stored pixels are sorted so that pixels having the same color are adjacent to each other, and an abnormal pixel (dust) not present in the original image is detected based on the state of the sorted pixels. With this, the dust not present in the original image is detected without increasing the cost, and the dust is corrected without forming a conspicuous trace of correction.

An information processing apparatus includes circuitry to designate an attribute of an image object to be superimposed with an additional object and perform first identification to identify an image object indicating the attribute designated, among image objects included in image data. The circuitry performs second identification to identify an image object that has not yet been superimposed with an additional object, among image objects identified by the first identification, and generates the additional object to be superimposed on the image object identified by the second identification.