摘要:
A method and system electronically fuzzy classify a pixel belonging to a set of digital image data with respect to a membership of the pixel in a plurality of image classes. This process determines a fuzzy classification of the pixel and generates an effect tag for the pixel based on the fuzzy classification determination. Each class is defined by a set of heuristic rules such that the image classes are non-mutually exclusive. The heuristic rules are a set of conditions that define the membership value of the pixel within a certain class, thereby allowing a pixel to have a membership value in every possible image class.
摘要:
A method and system implements a high addressability characteristic into an error diffusion process. A grey level value representing a pixel is received: The grey level value has a first resolution which corresponds to an original input resolution. The grey level value is interpolated to generate subpixel grey level values which correspond to a second resolution. The second resolution is higher than the first resolution and corresponds to the high addressability characteristic. A threshold circuit thresholds the interpolated grey level value and generates an error value as a result of the threshold. The error value has a resolution corresponding to the first resolution. A portion of the error value is diffused to adjacent pixels on a next scanline.
摘要:
A method for dynamic range adjustment of image data of a captured image by determining a white point of an image. The method also involves determining a black point of the image, classifying pixels of the image, and determining an offset value for a pixel of the image based on the determined black point of the image and the determined classification of the pixel. Dynamic range adjustment of the image data is performed using the determined offset value for the pixels of the image and the determined white point of the image.
摘要:
Methods and apparatus may include assigning a subtype, from a sub-class of image types, to a pixel, the subtype indicating membership in a window and also indicating a more specialized sub-class of image types. Membership in the sub-class may specify downstream processing specific to the subtype and compatible with the downstream processing of other subtypes within the sub-class. Such methods and apparatus may allow individual pixels within a window to receive specialized downstream processing according to their subtype while preventing objectionable artifacts. Such artifacts may result from classifying neighboring pixels as image types calling for mutually incompatible downstream processing.
摘要:
A system and method remove at least one color from a color image in a chrominance-luminance color space. The processing method includes generating screen values for machine independent color space image pixels, comparing the screen values for the pixels with pixel values for one component of the machine independent color space, and generating a dropout pixel for each pixel having a screen value that is less than the pixel value for the one component of the machine independent color space. The screen value for a pixel may be compared to the pixel value for the luminance component to determine whether to generate a dropout pixel or not.
摘要:
A pixel classification method for classifying pixels of an image by determining a background intensity level of an image which is based on substantially all of the pixels of the image. The method also involves classifying the pixels of the image and checking the classification of the pixel based on the determined background intensity level of the image.
摘要:
A method and apparatus are provided for use in single channel segmentation of color images for reclassifying pixels which were inappropriately classified as belonging to a “black” or “white” class. The apparatus includes a re-classification circuit receiving first classification data generated by a single channel segmentation circuit operative to classify pixels of a multi-color channel input image. The re-classification circuit selectively re-classifies pixels that were previously classified by the single channel segmentation circuit into an “other” segmentation class based on a comparison of classification data associated with the pixels relative to a set of predefined classification data types. Particularly, the re-classification circuit reclassifies selected ones of the pixels into the “other” segmentation class when first classification data generated by the single channel segmentation circuit labels the pixels as a “white” or “black” data type.
摘要:
A high addressable hybrid error diffusion process adds an error value to an input grey image value to produce a modified input grey image value before comparing the modified input grey image value with a predetermined threshold value. A rendering value and error is generated based on the comparison. The error is equal to n(GL/N)*Aeff, wherein n is equal to the number of subpixels turned ON, GL is the maximum grey value for a pixel, N is the addressability of the rendering system, and Aeff is an effective spot area value for the rendering system. The effective spot area value is retrieved from a look-up table having a plurality of effective spot area values based on the input grey image value. The effective spot area values is created from a process of scanning a set of grey test patches corresponding to a set of known grey input values and generating image data therefrom, printing a set of grey patches based on the generated image data, measuring a reflectance of each grey test patch to generate a plurality of output grey values, one output grey value for each test patch and corresponding known grey input value, generating a tonal reproduction curve from the set of known grey input values and corresponding output grey values, calculating a plurality of effective spot area values, each effective spot area value being a result of dividing one output grey value by the corresponding known grey input value, and storing the plurality of effective spot area values as a function of the output grey value. The generated error is fractionalized and diffused to neighboring pixels.
摘要:
An image desired to be reproduced is scanned to determine its video pixel gray values. A histogram generator generates a histogram distribution representing a frequency of the gray values. The histogram distribution is analyzed to determine a background peak gray value of the image and a standard deviation of the histogram distribution based on a Gaussian approximation. A thresholding circuit dynamically adjusts the background peak value based on the standard deviation and a selected scaling factor to generate a background threshold value. The background threshold value expands a range of background gray values in the image which are eliminated during image reproduction. Eliminating substantially all background gray values improves the quality of the reproduced image.
摘要:
A method and system implements a dynamic error diffusion process. A grey level value representing a pixel is received. An image segmentation circuit determines an image characteristic of the pixel being processed. A threshold circuit thresholds the grey level value (pixel) and generates an error value as a result of the threshold process. A portion of the error value is diffused to adjacent pixels on a next scanline. The distribution of this error value is dynamic in that different sets of weighting coefficients are used based the image characteristic of the processed pixel. One set of coefficients are utilized in processing a pixel having a first image characteristic, and a second set of coefficients are utilized in processing a pixel having a second image characteristic.