IMAGE PROCESSING APPARATUS AND METHOD, RECORDING MEDIUM, AND PROGRAM

• US 20080181529A1
• Filed: 02/05/2007
• Published: 07/31/2008
• Est. Priority Date: 02/07/2006
• Status: Active Grant

• Current Assignee: Sony Corporation (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.)
• Inventors: Aoyama, Koji, Michel, Xavier
• Granted Patent: US 7,817,875 B2
• Time in Patent Office: Days
• US Class Current: 382/266
• CPC Class Codes: G06T 2207/20192 Edge enhancement; Edge preservation
• CPC Class Codes: G06T 5/20 using local operators
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: G06T 5/73 Deblurring; Sharpening

Abstract

An image processing apparatus including a contrast detector that detects a contrast intensity of a pixel in a first image; a flat-intensity detector that detects a flat intensity of the pixel; an edge-intensity detector that detects an edge intensity of the pixel; a flat-weight setter that sets a flat weight for the pixel; an edge-weight setter that sets an edge weight for the pixel; an attenuator that attenuates components in a predetermined frequency band of the first image to form a second image; a first combiner that combines the first and second images to form a third image using weights based on the flat weight; an edge enhancer that enhances edges in the third image to form a fourth image; and a second combiner that combines the first and fourth images using weights based on the edge weight.

Claims

1. An image processing apparatus comprising:

contrast detecting means for detecting a contrast intensity of a target pixel being considered in a first image, the contrast intensity indicating an intensity of contrast in a region including and neighboring the target pixel;

flat-intensity detecting means for detecting a flat intensity of the target pixel on the basis of the contrast intensity, the flat intensity indicating a degree of smallness of change in pixel value relative to change in position in the region including and neighboring the target pixel;

edge-intensity detecting means for detecting an edge intensity of the target pixel on the basis of the contrast intensity, the edge intensity indicating a degree of largeness of change in pixel value relative to change in position in the region including and neighboring the target pixel;

flat-weight setting means for setting a flat weight for the target pixel, the flat weight being a weight that increases as flat intensities of pixels in the region including and neighboring the target pixel increase and that decreases as the flat intensities decrease;

edge-weight setting means for setting an edge weight for the target pixel, the edge weight being a weight that increases as edge intensities of the pixels in the region including and neighboring the target pixel increase and that decreases as the edge intensities decrease;

attenuating means for attenuating components in a predetermined frequency band of the first image to form a second image;

first combining means for combining the first image and the second image to form a third image by adding together pixel values of pixels at corresponding positions of the first image and the second image, using weights that are based on the flat weight;

edge enhancing means for enhancing edges in the third image to form a fourth image; and

second combining means for combining the first image and the fourth image by adding together pixel values of pixels at corresponding positions of the first image and the fourth image, using weights that are based on the edge weight.

2. The image processing apparatus according to claim 1,

wherein, as the contrast intensity, the contrast detector detects a sum of values obtained for individual pairs of adjacent pixels in the region including and neighboring the target pixel, the values being obtained by, for each of the pairs of adjacent pixels, multiplying an absolute value of difference between pixel values of the pixels with a weight associated with a distance between the pixels.

3. The image processing apparatus according to claim 1,

wherein the flat intensity takes on a maximum value when the contrast intensity is less than a first threshold, decreases as the contrast intensity increases when the contrast intensity is greater than or equal to the first threshold and less than or equal to a second threshold, and takes on a minimum value when the contrast intensity is greater than the second threshold, and

the edge intensity takes on a minimum value when the contrast intensity is less than a third threshold, increases as the contrast intensity increases when the contrast intensity is greater than or equal to the third threshold and less than or equal to a fourth threshold, and takes on a maximum value when the contrast intensity is greater than the fourth threshold.

4. The image processing apparatus according to claim 1,

wherein, as the flat weight, the flat-weight setting means sets a sum of values obtained for the individual pixels in the region including and neighboring the target pixel, the values being obtained by, for each of the pixels, multiplying the flat intensity with a weight associated with a distance between the pixel and the target pixel, and

wherein, as the edge weight, the edge-weight setting means sets a sum of values obtained for the individual pixels in the region including and neighboring the target pixel, the values being obtained by, for each of the pixels, multiplying the edge intensity with a weight associated with a distance between the pixel and the target pixel.

5. The image processing apparatus according to claim 1,

wherein the attenuating means attenuates components in a high-frequency band of the first image.

6. The image processing apparatus according to claim 1,

wherein the first combining means adds together the pixel values of the pixels at the corresponding positions of the first image and the second image with a ratio of the pixel value of the second image increased as the flat weight increases and with a ratio of the pixel value of the first image increased as the flat weight decreases, and

wherein the second combining means adds together the pixel values of the pixels at the corresponding positions of the first image and the fourth image with a ratio of the pixel value of the fourth image increased as the edge weight increases and with a ratio of the pixel value of the first image increased as the edge weight decreases.

7. An image processing method comprising the steps of:

detecting a contrast intensity of a target pixel being considered in a first image, the contrast intensity indicating an intensity of contrast in a region including and neighboring the target pixel;

detecting a flat intensity of the target pixel on the basis of the contrast intensity, the flat intensity indicating a degree of smallness of change in pixel value relative to change in position in the region including and neighboring the target pixel;

detecting an edge intensity of the target pixel on the basis of the contrast intensity, the edge intensity indicating a degree of largeness of change in pixel value relative to change in position in the region including and neighboring the target pixel;

setting a flat weight for the target pixel, the flat weight being a weight that increases as flat intensities of pixels in the region including and neighboring the target pixel increase and that decreases as the flat intensities decrease;

setting an edge weight for the target pixel, the edge weight being a weight that increases as edge intensities of the pixels in the region including and neighboring the target pixel increase and that decreases as the edge intensities decrease;

attenuating components in a predetermined frequency band of the first image to form a second image;

combining the first image and the second image to form a third image by adding together pixel values of pixels at corresponding positions of the first image and the second image, using weights that are based on the flat weight;

enhancing edges in the third image to form a fourth image; and

combining the first image and the fourth image by adding together pixel values of pixels at corresponding positions of the first image and the fourth image, using weights that are based on the edge weight.

8. A program for causing a computer to execute processing comprising the steps of:

detecting a contrast intensity of a target pixel being considered in a first image, the contrast intensity indicating an intensity of contrast in a region including and neighboring the target pixel;

detecting a flat intensity of the target pixel on the basis of the contrast intensity, the flat intensity indicating a degree of smallness of change in pixel value relative to change in position in the region including and neighboring the target pixel;

detecting an edge intensity of the target pixel on the basis of the contrast intensity, the edge intensity indicating a degree of largeness of change in pixel value relative to change in position in the region including and neighboring the target pixel;

setting a flat weight for the target pixel, the flat weight being a weight that increases as flat intensities of pixels in the region including and neighboring the target pixel increase and that decreases as the flat intensities decrease;

setting an edge weight for the target pixel, the edge weight being a weight that increases as edge intensities of the pixels in the region including and neighboring the target pixel increase and that decreases as the edge intensities decrease;

attenuating components in a predetermined frequency band of the first image to form a second image;

combining the first image and the second image to form a third image by adding together pixel values of pixels at corresponding positions of the first image and the second image, using weights that are based on the flat weight;

enhancing edges in the third image to form a fourth image; and

combining the first image and the fourth image by adding together pixel values of pixels at corresponding positions of the first image and the fourth image, using weights that are based on the edge weight.

9. A recording medium having recorded thereon the program according to claim 8.

10. An image processing apparatus comprising:

a contrast detector configured to detect a contrast intensity of a target pixel being considered in a first image, the contrast intensity indicating an intensity of contrast in a region including and neighboring the target pixel;

a flat-intensity detector configured to detect a flat intensity of the target pixel on the basis of the contrast intensity, the flat intensity indicating a degree of smallness of change in pixel value relative to change in position in the region including and neighboring the target pixel;

an edge-intensity detector configured to detect an edge intensity of the target pixel on the basis of the contrast intensity, the edge intensity indicating a degree of largeness of change in pixel value relative to change in position in the region including and neighboring the target pixel;

a flat-weight setter configured to set a flat weight for the target pixel, the flat weight being a weight that increases as flat intensities of pixels in the region including and neighboring the target pixel increase and that decreases as the flat intensities decrease;

an edge-weight setter configured to set an edge weight for the target pixel, the edge weight being a weight that increases as edge intensities of the pixels in the region including and neighboring the target pixel increase and that decreases as the edge intensities decrease;

an attenuator configured to attenuate components in a predetermined frequency band of the first image to form a second image;

a first combiner configured to combine the first image and the second image to form a third image by adding together pixel values of pixels at corresponding positions of the first image and the second image, using weights that are based on the flat weight;

an edge enhancer configured to enhance edges in the third image to form a fourth image; and

a second combiner configured to combine the first image and the fourth image by adding together pixel values of pixels at corresponding positions of the first image and the fourth image, using weights that are based on the edge weight.