IP Library Granted Patent US 7,342,688
Granted Patent B2
US 7,342,688 · App. 10/394,035 · Granted Mar 11, 2008

Apparatus for eliminating moire in scanned image and method for the same

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Quick Facts
Patent No.
US 7,342,688
App. No.
10/394,035
Granted
Mar 11, 2008
Kind
B2
Abstract

A method for eliminating moire in scanned digital image comprises the steps of using an average circuit for taking weighted average and error diffusing a gray level difference between an error diffusion pixel G ij and neighbor pixels to neighbor to obtain output image pixel Y′ ij ; using a second adder for subtracting the error diffusion pixel G ij from the output image pixel Y′ ij to obtain a neighbor image error d ij ; using a error filter H(z) to process the neighbor image error d ij to obtain a corrected pixel error H(d(i,j)); and using a first adder for adding the corrected pixel error H(d(i,j)) and the input image pixel Y ij to obtain the corrected error diffusion pixel G ij , and then jumping to first step until all pixels being processed. The method provides real time treatment for eliminating moire and provide smooth image.

Claims (9)

1. A method for eliminating moire in scanned digital image, comprising following steps:

(a). using an average circuit for taking weighted average and error diffusing a gray level difference between an error diffusion pixel G ij and neighbor pixels to neighbor to obtain output image pixel Y′ ij ;

(b). using a second adder for operating the error diffusion pixel G ij and the output image pixel Y′ ij to obtain a neighbor image error d ij ;

(c). using a error filter H(z) to process the neighbor image error d ij to obtain a corrected pixel error H(d(i,j)); and

(d). using a first adder for operating the corrected pixel error H(d(i,j)) and the input image pixel Y ij to obtain the corrected error diffusion pixel G ij , and then jumping to step (a) until all pixels being processed.

2. The method for eliminating moire in scanned digital image as claim 1 , wherein in the step (a), the average circuit chooses different weight according a complexity of the moire to be eliminated.

3. The method for eliminating moire in scanned digital image as claim 1 , wherein in the step (b) the second adder subtracts the error diffusion pixel G ij , from the output image pixel Y′ ij to obtain a neighbor image error d ij .

4. The method for eliminating moire in scanned digital image as claim 1 , wherein in the step (d) the first adder adds the corrected pixel error H(d(i,j)) with the input image pixel Y ij to obtain the corrected error diffusion pixel G ij , and then jumping to step (a) until all pixels being processed.

5. The method for eliminating moire in scanned digital image as claim 1 , wherein each image is segmented to a plurality of line images for processing, the average value of one pixel with neighbor pixel in one line being used as reference value of average circuit processing next line.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 29, 2008
From: LITE-ON TECHNOLOGY CORP.
To: MULLER CAPITAL, LLC
Reel/Frame 022034/0345 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 24, 2003
From: CHEN, CHEN-CHUNG; CHIANG, CHENG-HUEI
To: LITE-ON TECHNOLOGY CORPORATION
Reel/Frame 013904/0182 →