A computer device obtains a medical image set. The device identifies a difference between the reference medical image and the target medical image to obtain a candidate non-lesion region in the target medical image. The device determines area size information of the candidate non-lesion region as candidate area size information. The device adjusts the candidate non-lesion region according to the annotated area size information when the candidate area size information does not match the annotated area size information, so as to obtain a target non-lesion region in the target medical image.

A read-only memory (ROM) stores firmware code for a hardware component. A firmware controller is directly physically connected to the hardware component and to the ROM. The firmware controller exposes a virtual ROM link to the hardware component. The hardware component accesses the firmware code over the virtual ROM link exposed by the firmware controller.

A method for color correction of an image includes generating a plurality of gain modules for an image scanning device, where each gain module of the plurality of gain modules includes a ratio of a maximum light intensity and a scanned white intensity. The method may further include generating a plurality of color correction modules, wherein each color correction module is associated with a respective gain module. Responsive to receipt of instructions to perform a scan of a document, the method may include identifying a color correction module of the plurality of color correction modules to apply and applying the identified color correction module to an image of the scanned document.

The present disclosure provides a method of processing an image, a device, and a medium. The method of processing the image includes: performing an image processing on an original image to obtain a component image for brightness of the original image; determining at least one of the original image and the component image as an image to be processed; classifying a pixel in the image to be processed, so as to obtain a classification result; processing the image to be processed according to the classification result, so as to obtain a target image; and determining an image quality of the original image according to the target image.

An image forming apparatus comprises: an image processor to convert image data based on a conversion condition; an image forming unit to form an image based on the converted image data using a replaceable member; a memory to store the image data and the converted image data; a sensor to perform measurement on a test image; and a controller. If the replacement of the replaceable member is detected while forming images, the controller controls the image forming unit to form the test image and generates the conversion condition based on a result of the measurement on the test image. If the replacement of the replaceable member is detected while forming the images, the controller further controls the image processor to convert the image data stored in the memory based on the generated conversion condition.

A printing apparatus corrects image data for printing on the basis of a color measurement result obtained by a sensor, prints a set of first color tone correction patches on a first sheet with a predetermined size and prints a set of a second color tone correction patches on a second sheet with the predetermined size. When the first sheet and the second sheet are printed one after another, a color measurement result of the tone correction patches printed on the first sheet and the second sheet is used in correcting the image data for printing. When the first sheet and the second sheet with the predetermined size are not printed one after another, a color measurement result of the tone correction patches printed on the first sheet and the second sheet for correcting the image data for printing is not used in correcting the image data for printing.

In a method to improve backwards compatibility when decoding high-dynamic range images coded in a wide color gamut (WCG) space which may not be compatible with legacy color spaces, hue and/or saturation values of images in an image database are computed for both a legacy color space (say, YCbCr-gamma) and a preferred WCG color space (say, IPT-PQ). Based on a cost function, a reshaped color space is computed so that the distance between the hue values in the legacy color space and rotated hue values in the preferred color space is minimized HDR images are coded in the reshaped color space. Legacy devices can still decode standard dynamic range images assuming they are coded in the legacy color space, while updated devices can use color reshaping information to decode HDR images in the preferred color space at full dynamic range.

An image forming apparatus includes a recording head that ejects inks of different colors on a recording medium to form an image based on image data, a storage device that stores a plurality of different dot patterns for flushing, and a control device that functions as: a controller that allows the recording head to make flushing; an image area detector that detects an image area in the image data; an overlapping dot counter that counts a number of overlapping dots for each of the plurality of dot patterns according to which flushing is to be made on the image area, the number of overlapping dots being a number of dots in the dot pattern of the ink ejected on the image area; and a dot pattern assignor that assigns, according to the number of overlapping dots, the respective dot patterns for use in flushing with the inks of different colors.

Provided is an image calibration method, an image formation device and a storage medium. The image calibration method includes: acquiring at least one of a first end color density value or a second end color density value of a calibration reference image along a direction to be calibrated; calculating a difference between the at least one of the first end color density value or the second end color density value and a target color density value, to obtain at least one of a first end color density difference value or a second end color density difference value; and performing uniformity calibration on an image to be calibrated if the at least one of the first end color density difference value or the second end color density difference value is greater than or equal to a preset difference threshold.

A method transforms color values of a first device-dependent color space into the color values of a second device-dependent color space so that the visual impression of the color represented in the two-color spaces is essentially identical. The transformation of the color values combines at least one absolute rendering intent and at least one relative rendering intent.