A method for correcting distortion in image printing, the method includes receiving a digital image (200, 306, 376, 500, 600, 700, 810) acquired from a printed image. Based on the digital image (200, 306, 376, 500, 600, 700, 810), a geometric distortion in the printed image is estimated. One or more pixel locations (228, 504, 506, 514, 610, 620, 630, 640, 712, 716, 722, 724) are calculated, such that, when one or more dummy pixels (232, 234) are implanted therein, compensate for the estimated geometric distortion. The geometric distortion is corrected in a subsequent digital image to be printed, by implanting the one or more dummy pixels (232, 234) at the one or more calculated pixel locations (228, 504, 506, 514, 610, 620, 630, 640, 712, 716, 722, 724) in the subsequent digital image. The subsequent digital image having the corrected geometric distortion is printed.

An image processing apparatus includes an acquisition unit configured to acquire an image, an image processing unit configured to perform image processing on the acquired image, and an output unit configured to output the image having undergone the image processing to an output destination. The image processing unit is able to perform replacement processing for replacing colors of predetermined image portions in the acquired image with a color selected from a plurality of predetermined different colors based on the colors of the predetermined image portions. The output unit is able to output the acquired image having undergone the replacement processing to the output destination, and to output the image not having undergone the replacement processing to the output destination.

Disclosed is a signal processing device and an image display apparatus including the same. The signal processing device and the image display apparatus comprise: a first reduction unit to receive a image signal and reduce noise of the received image signal, and a second reduction unit to perform grayscale amplification based on the image signal from the first reduction unit, wherein the second reduction unit is configured to perform the grayscale amplification so that upper-limit level of grayscale of the image signal from the first reduction unit is greater than upper-limit level of grayscale of an OSD signal. Accordingly, OSD area may be uniformly displayed regardless of ambient luminance.

In examples, a method includes receiving print image data representing an image to be printed and selectively modifying at least one of an initial background print agent color plane and an initial image print agent color plane to determine a modified color plane.

The present disclosure provides a hybrid framework-based image bit-depth expansion method and device. The invention fuses a traditional de-banding algorithm and a depth network-based learning algorithm, and can remove unnatural effects in an image flat area whilst more realistically restoring numerical information of missing bits. The method comprises the extraction of image flat areas, local adaptive pixel value adjustment-based flat area bit-depth expansion and convolutional neural network-based non-flat area bit-depth expansion. The present invention uses a learning-based method to train an effective depth network to solve the problem of realistically restoring missing bits, whilst using a simple and robust local adaptive pixel value adjustment method in an flat area to effectively inhibit unnatural effects in the flat area such as banding, a ringing and flat noise, improving subjective visual quality of the flat area.

Disclosed is a signal processing device and an image display apparatus including the same. In the signal processing device and the image display apparatus according to the present disclosure, a High Dynamic Range (HDR) processor receives an image signal and adjust a luminance of the image signal, and a reduction unit configured to amplify the adjusted luminance of the image signal and increase a resolution of the grayscale of the image signal to generate an enhanced image signal, wherein the enhanced image signal provides an increased luminance and grayscale resolution of the image signal while maintaining high dynamic range within the displayed HDR image. Accordingly, expression of high grayscale of a received image may improve.

A method for acquiring shadow-free images of a document for scanning or other purposes is applied in a device. The method includes training a shadow prediction model based on sample documents of a sample library and inputting a background color and a shadow mask of each of the sample documents extracted by the shadow prediction model into a predetermined shadow removing network for training, to obtain a shadow removing model. The method further includes obtaining a background color and a shadow mask of the document through the shadow prediction model and removing the shadows of the document based on the shadow removing model. The device utilizing the method is also disclosed.

A method for acquiring shadow-free images of a document for scanning or other purposes is applied in a device. The method includes training a shadow prediction model based on sample documents of a sample library and inputting a background color and a shadow mask of each of the sample documents extracted by the shadow prediction model into a predetermined shadow removing network for training, to obtain a shadow removing model. The method further includes obtaining a background color and a shadow mask of the document through the shadow prediction model and removing the shadows of the document based on the shadow removing model. The device utilizing the method is also disclosed.

Provided is an operation method of an image signal processor (ISP) configured to perform signal processing on a raw image received from an image device, the operation method including generating a plurality of multi-scale images based on an input image, the plurality of multi-scale images having resolutions that are different from each other, iteratively performing a fast global weighted least squares (FGWLS) based operation on each of the plurality of multi-scale images to generate a final illuminance map, and outputting an enhanced image based on the final illuminance map and the input image.

Provided is an operation method of an image signal processor (ISP) configured to perform signal processing on a raw image received from an image device, the operation method including generating a plurality of multi-scale images based on an input image, the plurality of multi-scale images having resolutions that are different from each other, iteratively performing a fast global weighted least squares (FGWLS) based operation on each of the plurality of multi-scale images to generate a final illuminance map, and outputting an enhanced image based on the final illuminance map and the input image.