摘要:
In conventional image processing techniques, although a certain kind of image adjustment provides a desired effect on an image, it may cause an undesired side effect thereon, resulting in an unsatisfactory result of adjustment. On a computer serving as the nucleus of image processing, a region applicable to image processing is specified at a step, an object pixel is moved for judging whether or not it belongs to the specified region at the subsequent steps, and then a specified image processing operation is carried out if the object pixel is judged to belong to the specified region. Therefore, adjustment of image data in a certain region does not have an adverse effect on image data in other regions, making it possible to realize satisfactory adjustment in an entire image with ease. Further, on the computer, chromaticity "x-y" of each pixel is calculated at a step, and statistical calculation is performed at the subsequent steps if a value of chromaticity thus calculated is in a possible chromaticity range. After completion of statistical calculation on all the pixels, an average value is determined at the subsequent step, and a degree of each color adjustment is calculated while taking account of the number of pixels of interest at the subsequent step. In this manner, accurate statistical calculation is performed on color pixels to be adjusted independently of brightness, and a degree of each color adjustment is regulated by taking account of the number of pixels of interest, thereby making it possible to carry out optimum color adjustment processing without giving an adverse effect on colors of surrounding pixels.
摘要:
A conventional color printing device has a problem that the device cannot deal with a case where deviation occurs in a color ink ejecting amount due to age softening of a print head. Further, it also has a problem that an adjustment at a factory is required every device to increase manufacturing process, thereby being troublesome. A deviation in output characteristics of a printer 31 is written in a PROM area of a print head unit 31a1 as well as the PROM area is read, or a predetermined adjusting patterns are printed and the one closest to gray is selected among this patterns to be inputted, so that the deviation in output characteristics in the printer 31 can be received. Moreover, a color correction look-up table is formed to perform a color conversion so as to eliminate this deviation for rewriting a color conversion look-up table, whereby a color correction foreseeing the deviation is performed by referring to the rewritten color conversion look-up table when a printing operation is actually executed based upon color image data. Therefore, a printed matter does not have the deviation existing in a hardware of the printer 31, thereby capable of faithfully reproducing color.
摘要:
An edge-enhancement processing apparatus which removes problems of the conventional edge enhancement processing, which requires checking by an operator's visual observation or a high-frequency band filter, thus complicating the construction. A computer main body 21, as the nucleus of edge enhancement processing, calculates an edge amount as vector change level while generating a vector based on the difference values of data between adjacent pixels, at step S110, then selects and integrates edge amounts of only pixels having large edge amounts at steps S120 and S130, and obtains the mean value at step S230, to obtain the sharpness level of the image while adding attention to the pixels having large image change levels. The computer main body 21 determines an edge enhancement level Eenhance based on the image sharpness level. Thus, the computer main body 21 automatically performs edge enhancement processing at an optimum enhancement level.
摘要:
In image processing according to the prior art, the important part of photographic image data (referred to herein as the object) could not be determined and therefore required human participation. A computer 21 which is the core of image processing calculates an edginess which is an image variation from a differential value of data for adjacent picture elements in a step SA110, and determines object picture elements by selecting only images with a large variation in steps SA120, SA130. As optimum parameters for contrast correction and lightness compensation are calculated from image data for object picture elements in steps SA310-SA330, image processing indicators based on object picture elements are determined, and optimum image processing can be performed automatically. After summing a luminance distribution for each area of the image, which is a feature amount, while uniformly selecting picture elements in a step SB110, a reevaluation is performed by a weighting determined for each area in a step SB120, and a luminance distribution strongly influenced by the luminance distribution of the photographed object is thus obtained with uniform sampling. After determining the intensity of this luminance distribution in steps SB130-SB150, the image data is converted in a step SB160, and image processing can therefore be performed with optimum intensity while reducing the processing amount.