Patent №
US 7,424,151
Granted
2008-09-09
Filed 2004
Owner
XEROX CORPORATION
Lab
—
AI components
1
vision
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
10861310
A system and method for classifying an image block of a printed image into contone, halftone, or error diffusion classes, includes scanning the printed image; selecting an n by n block of pixels from the scanned image in a luminance channel; calculating an array of DCT coefficients of the pixel block, wherein the calculated DCT coefficients are representative of spatial frequency and spatial orientation of the pixel block; comparing the array of DCT coefficients with an array of predetermined values, wherein the array of predetermined values are indicative of contone, halftone and error diffusion classes; and determining the image classification of the pixel block based on the comparison of the DCT coefficients with the array of predetermined values. If the image is determined to be halftone, then the method further evaluates the DCT coefficients to determine the frequency of the halftone screen.
AI classification
Ownership
XEROX CORPORATION
assignment · 154880204
Assignors
LIN, YING-WEI, WANG, SHEN-GE, XU, BEILEI
On an employer assignment, the assignors are typically the inventors.