Abstract: An image processing apparatus that can carry out an error diffusion process without degrading the quality of image data generates a density histogram according to pixels included in the input image data. Reference densities S1 and S2 are calculated from pixels having a certain density in a set range. Threshold values T1-T3 are calculated according to the obtained reference densities S1 and S2.

Abstract: An adaptive halftoning method where the difference between a digital image and a filtered digital image is introduced into the system on a pixel by pixel basis is disclosed.

Abstract: A method of and apparatus for forming an image adapted to apply an error diffusion method to an input image data having N gradations so as to convert it into an output image data having M gradations, where M<N. Correspondence between N-stage gradation levels of the input image data and M-stage gradation levels of the output image data can be varied. This apparatus for forming an image has control means for setting the aforesaid correspondence in accordance with data obtained from the measurement of the image densities of a printout having specific gradation levels which do not give rise to errors in the aforesaid conversion.

Abstract: A method (and system) for producing a halftoned image, includes calculating errors corresponding to a plurality of different viewing conditions of a halftone image, and minimizing a function of the errors, such that the halftoned image appears as a different image under different viewing conditions. Alternatively, in another embodiment, the halftoned image appears as the same image under different viewing conditions.

Abstract: A process eliminates pattern shifting artifacts in a printed image rendered using a hybrid high addressable error diffusion process by perturbing a threshold/image signal value relationship when a multi-level grey level is binarized. The process utilizes a programmable multi-level grey signal modifying circuit for modifying the multi-level grey signal by a predetermined value according to its grey level. The modified multi-level grey signal is binarized to a binary pixel signal according to a relationship between the modified multi-level grey signal and a threshold value. The process further generates an error corresponding to the relationship and diffuses the error to neighboring pixels. The multi-level grey signal is modified with either random noise multiplied by a grey level dependent coefficient value. The coefficient value is dependent upon an image classification of the pixel being processed.

Abstract: A system and method for processing image data converts a pixel of image data having a first resolution to a plurality of subpixels, the plurality of subpixels representing a second resolution, the second resolution being higher than the first resolution. The plurality of subpixels are thresholded to generate a group of subpixel values for each pixel and a threshold error value. It is then determined if the group of subpixel values from the thresholding process produce a pattern containing an isolated subpixel. If the group of subpixel values from the thresholding process produce a pattern containing an isolated subpixel, the group of subpixel vales is modified to produce a pattern without an isolated subpixel. The modification process produces a subpixel error value which is compensated for localized error before being diffused to adjacent pixels.

Abstract: In a image processing apparatus executing an error diffusion process, normal error diffusion process is performed when an input pixel value is not “0”. When the input value is “0” (white pixel), “0” is automatically output, error memory of the pixel is reset, and calculation and distribution of the error are not performed. Accordingly, the speed of processing of the image processing apparatus can be improved. Further, by setting smaller the threshold value in error diffusion, the influence caused by resetting of the error memory and delay in generating a dot can be prevented.

Abstract: Halftoning by error diffusion, enhanced so as to reduce the presence of structural artifacts in the halftoned output while avoiding an artificial increase in halftoning image noise. Specifically, error diffusion according to the invention divides the input gray level intensity range into different segments for purposes of both thresholding and error diffusion. Different error diffusion threshold masks are applied for each respective segment, and different error diffusion weights are applied for each respective segment, with a decision being made as to whether or not to apply a different threshold mask being based on the local image gradient.

Abstract: A method is described of processing image data of pixels to be rendered. In the method, image data representing a pixel to be rendered is provided. Criteria or tests are established for processing the pixel in accordance with binary error diffusion or multibit error diffusion. In response to examination of the pixel in accordance with the criteria, a decision is made as to whether the pixel is to be rendered in accordance with binary error diffusion or multibit error diffusion. The pixel is then rendered in accordance with the decision.