JP2002334328A - Image display method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To display an image in an easy-to-see manner on a low-resolution and low-speed display device. SOLUTION: A visual sense model 7 is structured by modeling human's view and the view of a high-resolution image 8 is simulated. A video generation part 3 generates a low-resolution display image from the high-resolution image 8. A display system model 9 is structured by modeling display characteristics of a low-resolution display device. This is combined with the visual sense model 7 to simulate the view 10 of a display image. The consistency between the view 10 of the high-resolution image 8 and the view 11 of the display image is evaluated and the video generation part 3 is so adjusted that the consistency increases. The optimization is thus carried out to actualize an easy-to-see low- resolution image.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to an image display method. In particular, the present invention relates to a method for displaying a still image, a moving image, and a scroll image on a low-resolution and low-speed display device such as a liquid crystal display device. The image display method of the present invention targets various images such as natural images and document images, and improves the display quality of, for example, a personal computer or a portable terminal.

[0002]

2. Description of the Related Art In personal computers or portable terminals, in order to reduce the size of display devices and reduce power consumption,
Display devices such as liquid crystals are often used. The liquid crystal display device has the above advantages, but has a low resolution and a low speed. If information such as images and characters is displayed as it is on a low-resolution display device, the information is displayed in a large size, and thus there is a problem that information that can be displayed on the screen is limited. In order to solve this problem, the following two techniques are known as prior art.
Two methods are used.

[0003] 1. A method of converting displayed information into low-resolution data as image data. According to this method, the low-resolution data is displayed in a reduced size. Therefore, the screen can be used effectively. As a method of converting to low-resolution data, a method of using another graphic such as an icon, a method of simply reducing the size as image data, a method of cutting out only a portion determined to be important, and the like are used.

[0004] 2. A method of making a user feel a virtual wide screen by scrolling. In this method, a part of the entire information is displayed on the screen, and the information moves in parallel on the screen by a user operation or the like. As a result, the user can grasp the entire information. The display method by scrolling is used when the amount of information is large even if the display device has a high resolution.

[0005]

The most versatile method among these is a method of simply reducing the size of the first image data and converting it to low-resolution data, but has a drawback in that the display is difficult to see. The second display method using scrolling has a problem that image quality is reduced during scrolling in the case of a low-speed display device such as liquid crystal. For this reason, jump scrolling that scrolls at relatively large intervals,
Alternatively, a method of switching the display in page units is used, but there is a disadvantage that it is difficult to grasp the entire information.

The low-resolution and low-speed display device described above is used in a personal computer or a portable terminal, and targets various images such as a natural image and a document image, and includes a still image, a moving image, and a scroll image. Display as Improvement in display quality of such images is desired. An object of the present invention is to enable an image on a low-resolution and low-speed display device to be easily displayed.

[0007]

SUMMARY OF THE INVENTION The present invention has been made to achieve the above object. The present invention models the characteristics of the human eye and the characteristics of a display device, and shows how a given high-resolution image looks when viewed and a low-resolution image that is displayed on a low-speed display device. Optimal display of an image is realized by determining a low-resolution image to be displayed so that the appearance matches as much as possible.

The basic concept of the present invention will be described with reference to FIG. It is assumed that an image with a high resolution that cannot be displayed on a given display device as it is is given. When the image is displayed on the monitor 1 having a very high resolution (ideal) and viewed by the observer 2, it is considered that the observer feels very easy to see. On the other hand, the low-resolution image can be obtained by an arbitrary method. For example, the low-resolution image can be obtained by performing image processing such as simple averaging on the high-resolution image in the video generation unit 3. When displaying the low-resolution image on the low-resolution display device 4, the observer 2
Is not necessarily easy to see.

The difference between the appearance 5 of the high-resolution image and the appearance 6 of the low-resolution image is quantified as a difference in the appearance of a human.
Specifically, the video generation unit 3 is controlled so that the appearance 5 when viewing the image displayed on the low resolution display device 4 matches the appearance 6 when viewing the high resolution image as closely as possible. The display is optimized by optimizing the image display. FIG.
The outline of the display method will be described with reference to FIG. First, a visual perception model 7 that models human appearance is constructed, and the appearance 5 when the high-resolution image 8 is viewed is simulated. The visual perception model 7 models human sensitivity characteristics at each frequency.

Next, a low resolution display image is generated from the high resolution image 8 by the video generation unit 3. A display system model 9 that models the display characteristics of the low resolution display device 4 is constructed. The display system model 9 models the shape and response characteristics of each pixel of the display device 4. This and visual perception model 7
To simulate the appearance of the displayed image.

The high-resolution image 8
10 when viewed and 11 when viewed displayed image
Is evaluated, and the video generation unit 3 is adjusted so that the degree of coincidence increases. By optimizing in this way, an easy-to-view low-resolution image is realized. The idea of improving the display quality by modeling the characteristics of the human eye and the characteristics of the display device is an existing technology. JP-A-6-24506
In Japanese Patent Publication No. 0, this concept is applied to the determination of the intermediate gradation of a color printer. In Japanese Patent Application Laid-Open No. Hei 9-81777, this concept is applied to the generation of a video image that is close to what one wants to show. The present embodiment is characterized in that this concept is applied to conversion into low-resolution data to be displayed.

[0012]

Embodiments of the present invention will be described below with reference to the drawings. (Embodiment 1) This embodiment relates to optimization of image display. To model and apply the characteristics of the human eye and the characteristics of the display device to the conversion to low resolution data, an appropriate model configuration is required. In the present embodiment, an image is a two-dimensional array in units of pixels, and it is assumed that luminance and color can be set independently for each pixel. Mathematically, it is a function related to two dimensions of space and one dimension of time. However, in the case of a still image, it is a function of only two dimensions in space. The following description focuses on the luminance component, but a color image can be optimally converted to low-resolution data in the same manner.

Referring to FIG. 3, a method of obtaining a low-resolution image to be output to a display device so as to minimize an error from a given high-resolution image will be described. The given high-resolution image is represented by I ₀ , and the low-resolution image output to the low-resolution display device so as to reduce the error is represented by λ. When the model (display system model) of the characteristic of the low resolution display device is represented by K,
The displayed image is represented by I = K (λ). A model of a human visual sensitivity characteristic (visual perception model) is represented by G. At this time, when the high-resolution image I ₀ is viewed, the appearance is GoI
₀ , the appearance when viewing the display image I is represented by GoI.
However, GoI ₀ represents convolution.

When a squared distance is used as the visual error, for example, the error is

[0015]

(Equation 1)

## EQU1 ## The variable x is a two-dimensional space or a three-dimensional variable including time. A low-resolution image λ that minimizes E is to be obtained. Various methods can be used for the calculation of the minimization of E. For example, when E is decreased by virtually changing λ virtually, the process of updating λ may be repeated. As a model of the characteristics of the low-resolution display device, for example, the following display system model considering only its spatial characteristics can be used.

Each pixel of the low-resolution display device is a rectangle Dx ×
Dy, the inside is uniformly displayed, there is no gap between pixels, and the display of each pixel is independent. In this case,
The relationship between the low resolution image λ output to the display device and the display image I is expressed as follows. Low resolution display image I (x,
y) is (−Dx / 2, Dx / 2) × (−Dy / 2, D
Using a function φ (x, y) that becomes 1 (otherwise 0) at (y / 2)

[0018]

(Equation 2)

## EQU1 ## Here, k and l take integers. As a display system model that also takes into account the time characteristics of the low resolution display device, for example, the following model obtained by adding a time response delay to the above model can be used.

[0020]

(Equation 3)

Here, λ 'is represented by the following equation.

[0022]

(Equation 4)

Here, α is a positive constant representing a time delay of the low resolution display device. The above equation indicates that the display image follows with a time delay of about α. When the above two models are used, the minimization problem of E is a simultaneous linear equation of λ, which can be easily solved as compared with the nonlinear case. If the increase in the amount of calculation does not matter, a more sophisticated model can be used.

The first embodiment will be specifically described with reference to FIGS. FIG. 4 shows an apparatus configuration, and FIG. 5 shows a processing flow. The image reading unit 13 reads a high-resolution image to be displayed (S1). The image appearance calculation unit 14 calculates the appearance of the image using the visual perception model 7 (S
2). The display calculation unit 15 calculates a display image for an arbitrary low-resolution image using the display system model 9 of the low-resolution display device (S3). The display appearance calculation unit 16 calculates the appearance of the display image using the human visual sensitivity characteristic model 7 (S4). The image correction unit 17 calculates the difference between the two appearances while slightly correcting the low-resolution image, and repeats the correction until the difference between the appearances is minimized (S5, S6). Finally, the output unit 18 outputs the corrected low-resolution image to the display device (S7).

(Embodiment 2) This embodiment relates to optimization of a scroll image. Since the display of the scrolling image is one type of the moving image display, it can be treated as a moving image and optimized by the method of the first embodiment. However, if the knowledge of scrolling is used, the problem can be converted from three-dimensional to two-dimensional and handled in the same way as the optimization of the still image display as described below. As a result, the amount of calculation can be reduced.

When the given high-resolution image I ₀ is scroll-displayed, a low-resolution image λ to be output to a display device with the smallest error is obtained. The scroll is a movement that translates in a certain direction at a constant speed. Direction and its speed of scrolling is assumed to be given from the outside, it is also possible to estimate the high resolution image I ₀ by the image processing technique (e.g., JP-A-5-35236). In the following, a case will be described as an example of moving at a known speed v in the Y direction.

The scrolling high-resolution image I ₀ is

[0028]

(Equation 5)

## EQU2 ## However, I _{0 on} the right side is time 0
3 is a still image. As a model of the characteristics of the display device, for example, the following display system model considering only its spatial characteristics can be used. The relationship between the low resolution image λ output to the display device and the display image I is expressed as follows.

[0030]

(Equation 6)

Here, [x] represents an integer closest to x (rounded up in the case of 0.5). φ is (−Dx /
It is a step function that is 1 (otherwise 0) in (2, Dx / 2) × (−Dy / 2, Dy / 2). k and l take integers. This display system model represents a case where a pixel is scrolled on a display image by one pixel. Therefore, when this display system model is used, the error E described in the first embodiment is represented only by the high-resolution image I _{0 at} time ₀ and the low-resolution image λ (k, l) output to the display device. .
Therefore, the optimal low-resolution image λ (k, l) can be obtained with the same amount of calculation as the optimal display of the still image. A display system model that also takes into account the time characteristics of the display device can be used in the same manner, but the calculation is slightly more complicated.

The second embodiment will be specifically described with reference to FIGS. FIG. 6 shows an apparatus configuration, and FIG. 7 shows a processing flow. The image reading unit 13 reads a high-resolution still image to be scroll-displayed and scroll information (S1).
1). The scroll information includes a scroll direction and a scroll speed. The image appearance calculation unit 14 calculates the appearance when the still image is scrolled using the human visual sensitivity characteristic model 7 (S12). The display calculation unit 15 calculates a display image when an arbitrary low-resolution image is scrolled using the display device model 9 (S13). The display appearance calculation unit 16 calculates the appearance of the display image using the human visual sensitivity characteristic model 7 (S14). The image correction unit 17 calculates the difference between the two appearances while slightly correcting the low-resolution image, and repeats the correction until the difference between the appearances is minimized (S
15, S16). Finally, the output unit 18 outputs the corrected image to the display device (S17).

(Embodiment 3) This embodiment relates to improvement of display characteristics in scroll display. In the method of the second embodiment, the low-resolution image λ output to the low-resolution display device is limited to a scroll image. Therefore, there is a problem that it is not always easy to see. If the image is treated as a general moving image and optimized by an image display optimization method as in the first embodiment, the image can be sufficiently viewed, but there is a problem that the amount of calculation increases. In the third embodiment, scroll display is improved so as to be easy to see while suppressing the amount of calculation.

There are two approaches to this. 1. This is a method of optimizing a moving image, but limiting the range of a low-resolution image to be obtained at this time. In other words, instead of finding the one that minimizes the error E among all low-resolution images λ, this is the method that finds the one that minimizes the error E among a limited range of low-resolution images. For example, based on a low-resolution image obtained by simply reducing a given high-resolution image, only the value of a pixel whose absolute value of the derivative in the scroll direction is larger than a predetermined value is to be optimized, and the other pixels are subjected to optimization. A method of using the value as it is can be considered.

The differential in the scrolling direction is a difference in brightness between pixels adjacent in the scrolling direction, and particularly in the vicinity of a pixel having a large absolute value, since the brightness changes rapidly, it is particularly difficult to see. it is conceivable that. When there is no adjacent pixel in the calculation of the derivative (when the pixel protrudes outside the image), the derivative is set to 0 for convenience. FIG. 8 shows an example of differential calculation when the scroll direction is the Y direction (upward in the figure). When the difference between each pixel of the low-resolution image of (A) and the pixel immediately above is obtained, a differential image of (B) is obtained. In this case, the absolute value of the derivative is larger than a predetermined value (−
The pixels 1 and 1) are to be optimized.

2. Another method is to improve the scroll display while reducing the amount of calculation. FIG.
A method for separately improving the characteristics of a low-resolution display device will be described.
The optimal video generation unit 19 and the display characteristic improvement unit 20 that obtain a high-resolution image in the first embodiment are combined. Although it is possible to improve the visibility by using only the display characteristic improvement unit 20 alone, it is possible to realize a display that is more visible by combining the display characteristic improvement unit 20 with the optimum video generation unit 19.

The advantages of separately improving the characteristics of the display device are as follows. There is a problem that the use of a complicated display system model in the optimization of video generation increases the amount of calculation. By performing the display characteristic improvement processing, the display characteristics can be made closer to an ideal display device as a whole. Therefore, if the display characteristic improvement processing is included in the display device, the optimization can be easily performed with a simple display system model.

As a known technique for improving display characteristics in scroll display, the following method for improving a decrease in contrast that occurs because display does not follow is known. JP, 5-127658, A: Display is performed with a higher contrast during smooth scrolling. JP-A-7-140944
Japanese Patent Laid-Open Publication No. 2000-214873: By overwriting one pixel of a foreground color on a portion to be written later on a scan line or a scan line to be written later, a foreground area is increased and a decrease in luminance is prevented.

When displaying an image having a sharp edge such as a character image, the temporal fluctuation of the average luminance due to the difference in the rise and fall characteristics of the display device is more problematic than the decrease in contrast. This is a phenomenon in which the screen appears to flicker when scrolling. With reference to FIG. 10, a description will be given of a temporal change in luminance during scrolling.

Assume that an image shown in (A) is given to the display device and this scrolls in the X direction (rightward in the figure). If the luminance change of the pixel falls earlier than the rise, the image displayed on the display device becomes dark immediately after the movement as shown in FIG. Therefore, the average brightness fluctuates during scrolling. A method for suppressing the fluctuation of the average luminance will be described with reference to FIG.

(A) shows an image given to the display device,
(B) shows an image displayed on the display device. If the fall is faster, a certain luminance value is specified to the pixel 21 at the fall point in the image of FIG. The specified luminance value is experimentally determined by measuring a display device, for example, and stored in a nonvolatile storage device. An image displayed when the image in (A) is given to the display device is shown in (B). FIG.
Comparing FIG. 10B with FIG. 10B, it can be seen that the time variation of the average luminance of the image is small.

In the case where the luminance rises faster, a slightly darker luminance value is specified for a pixel that should originally display white, contrary to the above example. Further, the scroll direction is not limited to the X direction, and similar effects can be obtained in other directions. Details regarding the method of correcting the luminance value are as follows. It is assumed that the scroll moves by d pixels every n frames. Note that a frame is a time interval for updating the screen,
For example, it is 1/60 second. In this case, the moving speed v is v
= 60d / n.

The pixel to be corrected for the luminance value is determined by comparing the luminance value with the pixel on the right by d pixels. 1. When falling is faster. If the pixel of interest is black and the pixel to the right by d pixels is white,
Since this movement corresponds to the falling part, correct it.

No correction is made in other cases. 2. When the rising speed is faster If the target pixel is white and the pixel to the right by d pixels is black,
Since this movement corresponds to the rising point, modify it. No correction is made in other cases.

If the image is not a black and white binary image, it is determined whether or not the difference between the two luminance values (the absolute value of the differentiation) is larger than a predetermined value. The easiest way to make the correction is to make the same correction as described above for all frames, but if you make a large amount of correction, the image quality will deteriorate, so it is easier to see the correction amount for each frame. Display. However, individually calculating the amount of correction for each frame requires a large amount of calculation.

For example, if the following method is used, the amount of calculation can be reduced. After one movement, the image is stationary for n frames, so that the brightness changes most immediately after the movement. Based on this, a method has been devised in which the same correction is performed in the first m frames (m <n) that move, and is not corrected in the remaining frames. In FIG. 10A, m = n / 2.

FIG. 12 shows an example in which a different amount of correction of the luminance value is used for each correction target pixel. As the correction amount of the luminance value, a common value can be used for all the correction target pixels (FIG. 11A), but a different value can be used for each correction target pixel (FIG. 12A). B)). When different values are used for each pixel, it is not realistic to make all the unknowns and adjust them because the amount of calculation is enormous. Therefore, for example, the correction amount is assigned by the following method.

The correction amount of each pixel is calculated as the average of all correction amounts, h =
(H1 + h2 + h3) / 3 is calculated (FIG. 12 (A)), and the individual correction amount is calculated as the sum of the difference from the correction amount (for example, h1 = h +
δ1). Only the average h is subject to adjustment. Each difference is determined in advance from the luminance distribution. For example, a value obtained by subtracting the average value of five neighboring pixels before correction from the average value is used. As a result, the correction amount of a bright portion as shown in FIG. 12B is increased, and a rapid change in brightness is suppressed.

The following two methods can be considered for adjusting the correction amount. One is a method of actually measuring the luminance of the display device. 1. An initial value (for example, 0) is set to the initialization correction amount h. 2. Small change in correction amount The correction amount h is randomly changed minutely. 3. The time change of the measured average luminance is measured. As a measure of the time change, for example, the variance of the average luminance at each time is used.
The difference between the maximum and the minimum of the average luminance can also be used.

4. When the time change of the judgment average luminance increases, the correction amount is returned to the previous correction amount. When the time change of the average luminance becomes sufficiently small, the process is ended. 5. The correction amount is repeatedly minutely changed again. The other is a method of determining the correction amount from the result using the display system model 9 separately from the video optimization based on the visual perception model 7. If the display system model 9 is used, the above measurement can be replaced with a calculation (calculating the time change of the average luminance based on the model). Thereby, the adjustment of the correction amount can be performed efficiently.

As the display system model, for example, a model in consideration of the time characteristic of the first embodiment described can be used. Embodiment 3 will be specifically described with reference to FIGS. 13 and 14. FIG. 13 shows an apparatus configuration, and FIG. 14 shows a processing flow. The image reading unit 13 reads a still image to be scroll-displayed and scroll information (S2).
1). The scroll information includes a scroll direction and a scroll speed. The image correction unit 22 starts up the display device,
The image is corrected based on the falling characteristics so that the average luminance during scrolling becomes constant (S22). Finally, the output unit 18 outputs the corrected image to the display device (S2
3).

(Embodiment 4) This embodiment relates to a case where the display of an image is optimized using a filter created in advance. The principle of the method of modeling the characteristics of the display device and the human visual sensitivity characteristics and obtaining the low-resolution image λ to be output to the display device so as to minimize the error from the given high-resolution image I ₀ has already been described. . But,
Performing the error minimization for each image requires a very large amount of calculation. When using the linear model described above, the optimal low-resolution image corresponding to the high-resolution image represented by the sum of several high-resolution images is the sum of the low-resolution images corresponding to the individual high-resolution images. Since there is such a property, the calculation can be made more efficient as follows using this property.

1. For some representative high-resolution images, corresponding optimum low-resolution images are determined. An optimum filter is constructed from these results. 2. An optimum filter is applied to the given high-resolution image to obtain a corresponding low-resolution image. The following is a mathematical expression. Given a high resolution image

[0054]

(Equation 7)

And a known high-resolution image

[0056]

(Equation 8)

This is represented by a linear combination of At this time, the low-resolution image λ to be obtained is

[0058]

(Equation 9)

Is as follows. However, λ _1, ..., respectively λ _m I _1, ..., a low-resolution image corresponding to the I _m. As the representative image, for example, an impulse image in which only one pixel is turned on can be used. Any image can be represented by a linear combination of the representative images. Embodiment 4 will be specifically described with reference to FIGS. 15 and 16. FIG. 15 shows an apparatus configuration, and FIG. 16 shows a processing flow.

The image reading section 13 reads a high resolution image to be displayed (S31). The filter application unit 23
The filter optimized for the representative image is applied to the high-resolution image (S32). Finally, the output unit 18 outputs the low-resolution image obtained by the filtering to the display device (S33). (Supplementary Note 1) Modeling human visual characteristics to calculate appearance of a high-resolution image, modeling the characteristics of a display device, and calculating a display image for an arbitrary low-resolution image; An image display method, comprising: calculating an appearance of a display image; and correcting the low-resolution image so that a difference between the two appearances is minimized.

(Supplementary Note 2) An image according to Supplementary Note 1 including a step of reading a high resolution image and a step of generating a low resolution image from the high resolution image, wherein the generated low resolution image is the arbitrary low resolution image. Display method. (Supplementary Note 3) A step of reading a high-resolution still image and scroll information, a step of modeling a visual characteristic of a human to calculate an appearance of an image in which the still image is scrolled, and a step of modeling characteristics of a display device. Calculating a display image when an arbitrary low-resolution image is scrolled; calculating the appearance of the calculated display image; and correcting the low-resolution image so that a difference between the two appearances is minimized. And an image display method.

(Supplementary Note 4) An image according to Supplementary Note 3 including a step of reading a high-resolution image and a step of generating a low-resolution image from the high-resolution image, wherein the generated low-resolution image is the arbitrary low-resolution image. Display method. (Supplementary Note 5) A step of reading the still image and the scroll information, a step of correcting the still image based on the rising and falling characteristics of the display device such that the average luminance of the still image when scrolling becomes constant, Outputting the selected image to a display device.

(Supplementary note 6) The image display method according to supplementary note 5, comprising a step of reading a high-resolution image and a step of generating a low-resolution image from the high-resolution image, wherein the generated low-resolution image is the still image. (Supplementary note 7) The image display method according to Supplementary note 5 or 6, wherein a pixel whose absolute value of the differential in the scroll direction is larger than a predetermined value is a target of the correction of the still image.

(Supplementary Note 8) The image display method according to any one of Supplementary Notes 5 to 7, wherein a predetermined luminance is given to the pixel having the fastest rise or fall immediately after the movement by scrolling. (Supplementary Note 9) A step of generating a filter constituted by obtaining a low-resolution image for a predetermined representative image so as to minimize a difference between the appearance of the representative image and the appearance of the image displayed on the display device; Reading a high-resolution image, applying the filter to the high-resolution image to generate a low-resolution image, and outputting the generated low-resolution image to a display device. Image display method.

[0065]

According to the present invention, it is possible to display a still image, a moving image, and a scroll image on a display device such as a liquid crystal having a low resolution and a low speed so as to be easily viewed.

[Brief description of the drawings]

FIG. 1 is a diagram for explaining a basic concept of the present invention.

FIG. 2 is a diagram for explaining an outline of a display method of the present invention.

FIG. 3 is a diagram for explaining a method for obtaining a low-resolution image according to the first embodiment of the present invention.

FIG. 4 is a diagram illustrating an apparatus configuration according to the first embodiment of the present invention.

FIG. 5 is a flowchart showing a processing flow in the first embodiment of the present invention.

FIG. 6 is a diagram illustrating an apparatus configuration according to a second embodiment of the present invention.

FIG. 7 is a flowchart illustrating a flow of a process according to the second embodiment of the present invention.

FIG. 8 is a diagram illustrating a method for determining a pixel to be optimized according to a third embodiment of the present invention.

FIG. 9 is a diagram showing a combination of optimal video generation and display characteristic improvement in Embodiment 3 of the present invention.

FIG. 10 is a diagram illustrating a temporal change in luminance during scrolling.

FIG. 11 is a diagram illustrating a method for suppressing a variation in average luminance in Embodiment 3 of the present invention.

FIG. 12 is a diagram illustrating a method of setting a correction amount in FIG. 10;

FIG. 13 is a diagram illustrating a device configuration according to a third embodiment of the present invention.

FIG. 14 is a flowchart illustrating a flow of a process according to the third embodiment of the present invention.

FIG. 15 is a diagram illustrating an apparatus configuration according to a fourth embodiment of the present invention.

FIG. 16 is a flowchart illustrating a flow of a process according to the fourth embodiment of the present invention.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... High resolution image monitor 2 ... Observer 3 ... Video generation part 4 ... Low resolution display device 5 ... High resolution image appearance 6 ... Low resolution image appearance 7 ... Visual perception model 8 ... High resolution image 9 ... Display system Model 10: Appearance when viewing a high-resolution image when simulated 11: Appearance when viewing a displayed image when simulated 12 ... Matching degree evaluation unit 13 ... Image reading unit 14 ... Image appearance calculation unit 15 ... Display calculation section 16 ... Display appearance calculation section 17 ... Image correction section 18 ... Output section 19 ... Optimum video generation section 20 ... Display characteristic improvement section 21 ... Pixel at falling point 22 ... Image correction section 23 ... Filter application section

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Claims (4)

[Claims] A step of modeling the visual characteristics of a human to calculate the appearance of a high-resolution image; a step of modeling the characteristics of a display device to calculate a display image for an arbitrary low-resolution image; Calculating the appearance of the displayed image, and correcting the low-resolution image so that the difference between the two appearances is minimized. Reading a high-resolution still image and scroll information; modeling human visual characteristics to calculate an appearance of an image in which the still image is scrolled; and modeling characteristics of a display device. Calculating a display image when an arbitrary low-resolution image is scrolled; calculating an appearance of the calculated display image; and correcting the low-resolution image so that a difference between the two appearances is minimized. Performing an image display method. A step of reading a still image and scroll information; and a step of correcting an image displayed so that an average luminance of the still image at the time of scrolling is constant based on a rising and falling characteristic of a display device. Outputting the corrected image to a display device. 4. A step of generating a filter constituted by obtaining a low-resolution image for a predetermined representative image so as to minimize a difference between its appearance and the appearance of an image displayed on a display device. Reading a high-resolution image; applying the filter to the high-resolution image to generate a low-resolution image; and outputting the generated low-resolution image to a display device. Image display method.