Denoising method, apparatus, and program

• US 7,529,425 B2
• Filed: 11/30/2006
• Issued: 05/05/2009
• Est. Priority Date: 02/10/2004
• Status: Active Grant

• Current Assignee: Fujifilm Corporation (Fujifilm Holdings Corporation)
• Original Assignee: Fujifilm Corporation (Fujifilm Holdings Corporation)
• Inventors: Kitamura, Yoshiro, Ito, Wataru
• Primary Examiner(s): Kassa; Yosef
• Application Number:
  US11/606,091
• Publication Number:
  US 20070071353A1
• Time in Patent Office: 887 Days
• Field of Search: 382/260, 382/274, 382/275, 358/3.26, 358/3.27, 358/463
• US Class Current: 382/275
• CPC Class Codes: G06T 2207/20012 Locally adaptive
• CPC Class Codes: G06T 2207/20192 Edge enhancement; Edge preservation
• CPC Class Codes: G06T 2207/20224 Image subtraction
• CPC Class Codes: G06T 2207/30196 Human being; Person
• CPC Class Codes: G06T 5/20 using local operators
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: G06T 5/77 Retouching; Inpainting; Scratch removal
• CPC Class Codes: G06V 10/30 Noise filtering

Abstract

A blurred image generating section generates a plurality of blurred images Sm (where m=1 to n and n≧2) different in frequency response characteristic from one another, based on an original image S0. A band-limited image generating section generates a plurality of band-limited images Tm by performing a subtraction between images of adjacent frequency bands, employing the original image S0 and each of the blurred images Sm. A noise component extraction section extracts converted images, obtained by performing nonlinear conversion on each of the band-limited images Tm, as noise components Qm contained in the different frequency bands. A noise-component elimination section subtracts from the original image S0 a value obtained by multiplying a subtraction coefficient β (which is determined according to the pixel value Y0 of the original image S0) and the sum of the noise components Qm together.

Claims

1. A denoising method comprising:

at least one processor for implementing the following steps;

generating, based on a digital image acquired by imaging a subject, a plurality of band-limited images respectively representing components of a plurality of frequency bands of said digital image;

obtaining a plurality of converted images by performing on respective pixel values of said band-limited images a nonlinear conversion process, in which an absolute value of an output value is reduced to an absolute value of an input value or less, and in which, for an input value whose absolute value is a predetermined threshold value or less, an absolute value of an output value becomes greater as an absolute value of said input value becomes greater and, for an input value whose absolute value is greater than said predetermined value, an absolute value of an output value becomes less than or equal to an absolute value of an output value corresponding to said predetermined threshold value;

multiplying the pixel values of said converted images by a predetermined subtraction coefficient; and

obtaining a pixel value of a processed image by subtracting the pixel values of said converted images multiplied by said predetermined subtraction coefficient, from a pixel value of said digital image,

wherein the predetermined subtraction coefficient is determined according to a pixel value of said digital image so that the subtraction coefficient becomes smaller as the pixel value becomes greater.

2. The denoising method as set forth in claim 1, wherein said nonlinear conversion process is a process of generating an absolute value of an output value approximately constant for an input value whose absolute value is greater than said predetermined threshold value.

3. The denoising method as set forth in claim 1, wherein said predetermined threshold value is determined according to a frequency band of said band-limited image to be processed.

4. A denoising apparatus comprising:

band-limited image generating means for generating, based on a digital image acquired by imaging a subject, a plurality of band-limited images respectively representing components of a plurality of frequency bands of said digital image;

nonlinear conversion means for obtaining a plurality of converted images by performing on respective pixel values of said band-limited images a nonlinear conversion process, in which an absolute value of an output value is reduced to an absolute value of an input value or less, and in which, for an input value whose absolute value is a predetermined threshold value or less, an absolute value of an output value becomes greater as an absolute value of said input value becomes greater and, for an input value whose absolute value is greater than said predetermined value, an absolute value of an output value becomes less than or equal to an absolute value of an output value corresponding to said predetermined threshold value; and

frequency inhibition means for multiplying the pixel values of said converted images by a predetermined subtraction coefficient, and for obtaining a pixel value of a processed image by subtracting the pixel values of said converted images multiplied by said predetermined subtraction coefficient, from a pixel value of said digital image,

wherein the predetermined subtraction coefficient is determined according to a pixel value of said digital image so that the subtraction coefficient becomes smaller as the pixel value becomes greater.

5. The denoising apparatus as set forth in claim 4, wherein said nonlinear conversion means causes an absolute value of an output value to be approximately constant for an input value whose absolute value is greater than said predetermined threshold value.

6. The denoising apparatus as set forth in claim 4, wherein said predetermined threshold value is determined according to a frequency band of said band-limited image to be processed.

7. A program embodied on a computer readable medium for causing a computer to carry out:

a process of generating, based on a digital image acquired by imaging a subject, a plurality of band-limited images respectively representing components of a plurality of frequency bands of said digital image;

a process of obtaining a plurality of converted images by performing on respective pixel values of said band-limited images a nonlinear conversion process in which an absolute value of an output value is reduced to an absolute value of an input value or less, and in which, for an input value whose absolute value is a predetermined threshold value or less, an absolute value of an output value becomes greater as an absolute value of said input value becomes greater and, for an input value whose absolute value is greater than said predetermined value, an absolute value of an output value becomes less than or equal to an absolute value of an output value corresponding to said predetermined threshold value;

a process of multiplying the pixel values of said converted images by a predetermined subtraction coefficient; and

a process of obtaining a pixel value of a processed image by subtracting the pixel values of said converted images multiplied by said predetermined subtraction coefficient, from a pixel value of said digital image,

wherein the predetermined subtraction coefficient is determined according to a pixel value of said digital image so that the subtraction coefficient becomes smaller as the pixel value becomes greater.