# US 2022/0036601 A1 · Local gonio-reflection characteristics-acquiring method, image processing method, image display method, and local gonio-reflection characteristics-acquiring apparatus

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- Number: US 2022/0036601 A1
- Document ID: US20220036601A1
- Status: Published application
- Kind: A1
- Application number: 17/371,773
- Filed: 2021-07-09
- Published: 2022-02-03
- Earliest claimed: 2020-07-30
- Assignees: Konica Minolta, Inc.
- Applicants: Konica Minolta, Inc.
- Inventors: Takayuki ISHIKAWA; Akihiko ITAMI
- Web page: https://patentgrep.com/patent/US20220036601A1

## CPC

- G06T 11/10: Texturing; Colouring; Generation of textures or colours (retouching, inpainting or scratch removal G06T5/77)
- G01N 21/57: Measuring gloss
- H04N 1/00806: {According to type of the original, e.g. colour paper or transparency, or reading a plurality of different types of original}
- H04N 1/00816: {Determining the reading area, e.g. eliminating reading of margins}
- H04N 1/233: {according to characteristics of the data to be reproduced, e.g. number of lines}
- H04N 1/2392: {for displaying or indicating, e.g. a condition or state (details of displaying or indicating means H04N1/00405)}
- G01N 2021/575: {Photogoniometering}
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q)
- H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION

## Abstract

Method for acquiring local gonio-reflection characteristics of an image which is aggregation of dots. Sensory glossiness (L) of the image determined by equation (1) is 1.0 or more. The sensory glossiness (L) is determined based on a height of a peak (H), a height of a base (B) and a half width of a peak (W) of a distribution information of lightness with respect to light receiving angle, obtained by measuring reflected light of a measuring light irradiated into the image. The local gonio-reflection characteristics is acquired with a spatial resolution (A) for acquiring the local gonio-reflection characteristics and a resolution (B) which represents a distribution information of the dots within a region where the sensory glossiness (L) being 1.0 or more, satisfying formula (2). L=Log((H−B)/W) Equation (1) 0.8<A/B<10 Formula (2)

## Claims

### Claim 1

Local gonio-reflection characteristics-acquiring method for acquiring local gonio-reflection characteristics of an image which is aggregation of dots,
wherein sensory glossiness (L) of the image determined by equation (1) is 1.0 or more, the sensory glossiness (L) being determined based on a height of a peak (H), a height of a base (B) and a half width of a peak (W) of a distribution information of lightness with respect to light receiving angle, and the distribution information being obtained by measuring reflected light of a measuring light irradiated into the image, and
wherein the local gonio-reflection characteristics is acquired with a spatial resolution (A), wherein when the spatial resolution (A) is a spatial resolution when the local gonio-reflection characteristics is acquired and when the resolution (B) represents a distribution information of the dots within a region where the sensory glossiness (L) being 1.0 or more, the spatial resolution (A) and the resolution (B) satisfying formula (2).
L=Log((H−B)/W) Equation (1)
0.8<A/B<10 Formula (2)

### Claim 2 (depends on 1)

The local gonio-reflection characteristics-acquiring method according to claim 1, wherein for an image wherein said sensory glossiness (L) is less than 1.0, the local gonio-reflection characteristics is acquired with a spatial resolution (A) satisfying Formula (3).
A/B≤0.8 Formula (3)

### Claim 3 (depends on 1)

The local gonio-reflection characteristics-acquiring method according to claim 1, wherein a local gonio-reflection characteristics represented by Bidirectional Reflectance Distribution Function (BRDF) is acquired.

### Claim 4 (depends on 1)

The local gonio-reflection characteristics-acquiring method according to claim 1, wherein the image has a laminated structure in which imaging medium, under layer, and metallic layer containing glossy colorant are laminated in this order.

### Claim 5 (depends on 4)

The local gonio-reflection characteristics-acquiring method according to claim 4, wherein the glossy colorant is metal nano particles.

### Claim 6 (depends on 5)

The local gonio-reflection characteristics-acquiring method according to claim 5, wherein the metal nano particles has an average particle size (D50) of 10 nm or more and 80 nm or less.

### Claim 7 (depends on 5)

The local gonio-reflection characteristics-acquiring method according to claim 5, wherein the metallic layer has 80% by mass or more of the metal nano particles based on total mass of the metallic layer.

### Claim 8 (depends on 4)

The local gonio-reflection characteristics-acquiring method according to claim 4, wherein the glossy colorant is a flat-shaped particle.

### Claim 9 (depends on 8)

The local gonio-reflection characteristics-acquiring method according to claim 8, wherein the flat-shaped particles are particles having a thickness of 0.2 μm or more and 3.0 μm or less.

### Claim 10 (depends on 4)

The local gonio-reflection characteristics-acquiring method according to claim 4, wherein the glossy colorant comprises a metal or a metal oxide.

### Claim 11 (depends on 1)

An image processing method comprising:
calculating a stimulus value representing an appearance of an image from local gonio-reflection characteristics obtained by the local gonio-reflection characteristics-acquiring method according to claim 1.

### Claim 12 (depends on 11)

The image processing method according to claim 11, wherein the stimulus value is calculated using a spectral reflectivity contained in local gonio-reflection characteristics and a spectrum of measurement light.

### Claim 13 (depends on 11)

The image processing method according to claim 11, further comprising converting the calculated stimulus value into a signal value for displaying the image on a display.

### Claim 14 (depends on 13)

A image display method comprising:
displaying an image on a display using a signal value converted by the image processing method according to claim 13.

### Claim 15 (depends on 1)

A local gonio-reflection characteristics-acquiring apparatus for performing the local gonio-reflection characteristics-acquiring method according to claim 1, comprising:
a local gonio-reflection characteristics-acquiring section which acquires a local gonio-reflection characteristics of an image, and
a resolution changing section which changes, when acquiring the local gonio-reflection characteristics of an image having the sensory glossiness (L) being 1.0 or more, a spatial resolution (A) of the local gonio-reflection characteristics-acquiring section such that the spatial resolution (A) and the resolution (B) satisfies the Formula (2).

### Claim 16 (depends on 15)

The local gonio-reflection characteristics-acquiring apparatus according to claim 15, wherein the resolution changing section which changes, when acquiring the local gonio-reflection characteristics of an image having the sensory glossiness (L) being less than 1.0, a spatial resolution (A) of the local gonio-reflection characteristics-acquiring section such that the spatial resolution (A) and the resolution (B) satisfies the Formula (3).
A/B≤0.8 Formula (3)

### Claim 17 (depends on 15)

The local gonio-reflection characteristics-acquiring apparatus according to claim 15, wherein the resolution changing section changes a measurement distance by local gonio-reflection characteristics-acquiring section

### Claim 18

A non-transitory computer-readable recording medium storing therein an image data setting program for an image data setting apparatus capable of setting image data related to a foil forming image, the program causing a computer to perform:
acquiring local gonio-reflection characteristics of an image which is aggregation of dots,
wherein sensory glossiness (L) of the image determined by equation (1) is 1.0 or more, the sensory glossiness (L) being determined based on a height of a peak (H), a height of a base (B) and a half width of a peak (W) of a distribution information of lightness with respect to light receiving angle, and the distribution information being obtained by measuring reflected light of a measuring light irradiated into the image, and
wherein the local gonio-reflection characteristics is acquired with a spatial resolution (A), wherein when the spatial resolution (A) is a spatial resolution when the local gonio-reflection characteristics is acquired and when the resolution (B) represents a distribution information of the dots within a region where the sensory glossiness (L) being 1.0 or more, the spatial resolution (A) and the resolution (B) satisfying formula (2).
L=Log((H−B)/W) Equation (1)
0.8<A/B<10 Formula (2)