IMAGE DATA CONVERSION DEVICE, IMAGE DATA CONVERSION METHOD, IMAGE DATA CONVERSION PROGRAM, POS TERMINAL DEVICE, AND SERVER

• US 20190035065A1
• Filed: 12/14/2016
• Published: 01/31/2019
• Est. Priority Date: 02/05/2016
• Status: Active Grant

• Current Assignee: NEC Platforms, Ltd. (NEC Corporation)
• Original Assignee: NEC Platforms, Ltd. (NEC Corporation)
• Inventors: YAZAWA, Shou, YOSHIOKA, Yukio
• Granted Patent: US 10,643,318 B2
• Time in Patent Office: Days
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 5/40 using histogram techniques
• CPC Class Codes: G06T 5/92 based on global image properties
• CPC Class Codes: G06T 7/90 Determination of colour characteristics
• CPC Class Codes: H04N 1/40012 Conversion of colour to monochrome
• CPC Class Codes: H04N 1/407 Control or modification of tonal gradation or of extreme levels, e.g. background level
• CPC Class Codes: H04N 1/4074 using histograms
• CPC Class Codes: H04N 1/46 Colour picture communication systems
• CPC Class Codes: H04N 1/465 Conversion of monochrome to colour
• CPC Class Codes: H04N 1/60 Colour correction or control H04N1/54 takes precedence
• CPC Class Codes: H04N 1/6005 with luminance or chrominance signals, e.g. LC1C2, HSL or YUV

Abstract

In an image data conversion device, color image data is represented in gray scale, a histogram of brightness values is created for the gray-scaled image data, it is determined based on the created histogram which image pattern of a plurality of image patterns the gray-scaled image data is classified into, a range subjected to gamma correction and a range fixed to at least one of a minimum value and a maximum value of gray scale are set for each image pattern, and image data conversion including the gamma correction is performed on the gray-scaled image data.

Claims

1. An image data conversion device that represents color image data in gray scale to convert the color image data to black-and-white image data, the image data conversion device comprising:

gray scale operation unit configured to represent the color image data in gray scale;

histogram creation unit configured to create a histogram of brightness values for gray-scaled image data;

determination unit configured to, based on created histogram, determine which image pattern of image patterns of bright image, a dark image, a highly contrasted image whose contrast that is a difference in a brightness between a bright portion and a dark portion is significantly large, and an image which is not included in any of the bright image, the dark image, and the highly contrasted image the gray-scaled image data is classified into; and

image data conversion unit configured to, in accordance with which image of the bright image, the dark image, the highly contrasted image, and the image not included any of the above a determined image pattern is classified into, set a brightness value range on which gamma correction is performed for the gray-scaled image data, set a brightness value range on which correction for fixing a brightness value to at least one of a minimum value and a maximum value of gray scale is performed for the gray-scaled image data, and perform image data conversion including the gamma correction and correction for fixing a brightness value to at least one of the minimum value and the maximum value of the gray scale for the gray-scaled image data,

wherein the bright image is an image in which a peak having the highest brightness value is present above a second threshold greater than a first threshold of a brightness value in the histogram and the peak is not present below the first threshold,

wherein the dark image is an image in which the peak is present below the first threshold, the total number of pixels above the first threshold is greater than or equal to 10% of the whole number of pixels, and the peak is not present above the second threshold, and

wherein the highly contrasted image is an image in which the peak is present one of a range below the first threshold and a range above the second threshold and another peak is present in the other.

2. The image data conversion device according to claim 1, wherein the determination unit performs determination of the image pattern based on the number of peaks, a peak position, and a degree of unbalance of pixels within a predetermined range of the histogram.

3. The image data conversion device according to claim 1, wherein the determination unit performs determination of the image pattern based on a peak position within a predetermined range of the histogram.

4. The image data conversion device according to claim 1, wherein, after the image data conversion is performed by the image data conversion unit, the gray-scaled image data is converted to image data having less gradations than the gray-scaled image data.

5. The image data conversion device according to claim 1, wherein the histogram is a histogram in which unevenness has been smoothed with a moving average.

9. A POS terminal device comprising:

the image data conversion device according to claim 1; and

a printing unit that uses black-and-white image data converted by the image data conversion device for printing.

10. A server connected to a terminal device via a communication network, the server comprising:

the image data conversion device according to claim 1; and

a communication unit that receives color image data from the terminal device, converts the received color image data to black-and-white image data by using the image data conversion device, and transmits the converted black-and-white image data to the terminal device.

12. The image data conversion device according to claim 1, wherein the image data conversion unit,

for an image pattern of the bright image, performs the gamma correction on a range from the minimum value of the gray scale to a first predetermined brightness value and performs the correction for fixing a brightness value to the maximum value of the gray scale for a range from a value greater than the first predetermined brightness value to the maximum value of the gray scale,

for an image pattern of the dark image, performs the gamma correction on a range from the maximum value of the gray scale to a second predetermined brightness value and performs the correction for fixing a brightness value to the minimum value of the gray scale for a range from a value less than the second predetermined brightness value to the minimum value of the gray scale,

for an image pattern of the highly contrasted image, performs the gamma correction for a range from the maximum value of the gray scale to a third predetermined brightness value and performs correction for fixing a brightness value to the minimum value of the gray scale for a range a value less than the third predetermined brightness value to the minimum value of the gray scale, and

for an image pattern of an image not included in any of the bright image, the dark image, and the highly contrasted image, performs the correction for fixing a brightness value to the maximum value of the gray scale for a range from the maximum value of the gray scale to a fourth predetermined brightness value, performs the correction for fixing a brightness value to the minimum value of the gray scale for a range from a fifth predetermined brightness value to the minimum value of the gray scale, and performs the gamma correction for a range from a value less than the fourth predetermined brightness value to a value greater than the fifth predetermined brightness value.

6. (canceled)

7. An image data conversion method of an image data conversion device that represents color image data in gray scale to convert the color image data to black-and-white image data, the image data conversion method comprising:

representing the color image data in gray scale;

creating a histogram of brightness values for a gray-scaled image data;

based on a created histogram, determining which image pattern of image patterns of bright image, a dark image, a highly contrasted image whose contrast that is a difference in a brightness between a bright portion and a dark portion is significantly large, and an image which is not included in any of the bright image, the dark image, and the highly contrasted image the gray-scaled image data is classified into; and

in accordance with which image of the bright image, the dark image, the highly contrasted image, and the image not included any of the above a determined image pattern is classified into, setting a brightness value range on which gamma correction is performed for the gray-scaled image data, setting a brightness value range on which correction for fixing a brightness value to at least one of a minimum value and a maximum value of gray scale is performed for the gray-scaled image data, and performing image data conversion including the gamma correction and correction for fixing a brightness value to at least one of the minimum value and the maximum value of the gray scale for the gray-scaled image data,

wherein the bright image is an image in which a peak having the highest brightness value is present above a second threshold greater than a first threshold of a brightness value in the histogram and the peak is not present below the first threshold,

wherein the dark image is an image in which the peak is present below the first threshold, the total number of pixels above the first threshold is greater than or equal to 10% of the whole number of pixels, and the peak is not present above the second threshold, and

wherein the highly contrasted image is an image in which the peak is present one of a range below the first threshold and a range above the second threshold and another peak is present in the other.

8. A non-transitory storage medium storing an image data conversion program that causes a computer as an image data conversion device that represents the color image data by gray scale to convert the color image data to black-and-white image data to execute:

representing the color image data in gray scale;

creating a histogram of brightness values for a gray-scaled image data;

based on a created histogram, determining which image pattern of image patterns of bright image, a dark image, a highly contrasted image whose contrast that is a difference in a brightness between a bright portion and a dark portion is significantly large, and an image which is not included in any of the bright image, the dark image, and the highly contrasted image the gray-scaled image data is classified into; and

in accordance with which image of the bright image, the dark image, the highly contrasted image, and the image not included any of the above a determined image pattern is classified into, setting a brightness value range on which gamma correction is performed for the gray-scaled image data, setting a brightness value range on which correction for fixing a brightness value to at least one of a minimum value and a maximum value of gray scale is performed for the gray-scaled image data, and performing image data conversion including the gamma correction and correction for fixing a brightness value to at least one of the minimum value and the maximum value of the gray scale for the gray-scaled image data,

wherein the bright image is an image in which a peak having the highest brightness value is present above a second threshold greater than a first threshold of a brightness value in the histogram and the peak is not present below the first threshold,

wherein the dark image is an image in which the peak is present below the first threshold, the total number of pixels above the first threshold is greater than or equal to 10% of the whole number of pixels, and the peak is not present above the second threshold, and

wherein the highly contrasted image is an image in which the peak is present one of a range below the first threshold and a range above the second threshold and another peak is present in the other.

11. A computer storing the image data conversion program according to claim 8 in a storage unit, wherein a CPU represents the color image data in gray scale to convert the color image data to black-and-white image data based on the image data conversion program.