CN107590780B - Image display method, terminal and computer readable storage medium - Google Patents
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Abstract
The invention provides an image display method, which comprises the following steps: obtaining standard dynamic range SDR data, and carrying out coding reduction processing on the SDR data to obtain original linear data corresponding to the SDR data; performing High Dynamic Range (HDR) conversion on the original linear data according to the peak brightness of an image display terminal to obtain nonlinear data; and performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data. The invention also provides an image display terminal and a computer readable storage medium. The invention can restore SDR original content into original linear data, and then remap the original data to obtain the image data matched with the target HDR display, so that the SDR content can be displayed on the HDR display with reasonable brightness, the characteristic of high dynamic of the HDR content is presented, and the user experience is improved.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to an image display method, a terminal, and a computer-readable storage medium.
Background
Standard-Dynamic Range SDR (Standard-Dynamic Range), originating from the age of CRT displays, has a Standard luminance of 100cd/m 2 The adopted color space is BT709 (high definition) or BT601 (standard definition), and BT1886 (gamma) 8bit quantization coding is adopted. With the continuous development and update of display technologies, the current LCD and OLED display devices begin to adopt a high dynamic Range HDR (high dynamic Range) display technology, which adopts the color space of BT2020, so that the color gamut is greatly expanded, and the brightness is far higher than that of CRT devices.
However, with 100cd/m as a reference, the recorded SDR content is acquired by BT1886, and only when displayed on a low-brightness display of about 100cd/m such as a CRT, the original content can be reproduced correctly, thereby reproducing the director's intention in the editing room. When an SDR program produced at 100cd/m is displayed on a 1000cd/m HDR display of 500cd/m or higher, the brightness of the SDR program is excessively amplified, so that a user feels that the picture content looks glaring and uncomfortable to watch, and the user experience is reduced.
Disclosure of Invention
The invention mainly aims to provide an image display method, a terminal and a computer readable storage medium, and aims to solve the technical problem of overhigh brightness when SDR image content is displayed on an HDR display.
In order to achieve the above object, the present invention provides an image display method applied to an image display terminal, the image display method including the steps of:
obtaining standard dynamic range SDR data, and carrying out coding reduction processing on the SDR data to obtain original linear data corresponding to the SDR data;
performing High Dynamic Range (HDR) conversion on the original linear data according to the peak brightness of the image display terminal to obtain nonlinear data;
and performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data.
Optionally, the step of obtaining standard dynamic range SDR data and performing coding reduction processing on the SDR data to obtain original linear data corresponding to the SDR data includes:
obtaining SDR data, and carrying out normalization processing on the SDR data according to the signal bit depth of an SDR image to obtain normalized data;
and carrying out linear reduction processing on the normalized data according to the gamma characteristic or the electro-optical conversion EOTF characteristic of the SDR display system to obtain original linear data corresponding to the SDR data.
Optionally, the step of performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data includes:
performing gamma presetting on the nonlinear data according to the gamma characteristic or the electro-optic conversion (EOTF) characteristic of an SDR (standard definition television) display system, and adjusting the nonlinear data according to a preset adjusting factor to obtain HDR (high data rate) data;
and displaying the corresponding image according to the HDR data.
Optionally, after the step of performing gamma preset adjustment on the nonlinear data to obtain HDR data and displaying a corresponding image according to the HDR data, the method further includes:
and when a manual brightness adjusting instruction triggered by a user is received, adjusting the HDR data according to the manual brightness adjusting instruction to adjust the brightness of the current display image, and adjusting the preset adjusting factor according to the adjusted HDR data.
Optionally, after the step of performing gamma preset adjustment on the nonlinear data to obtain HDR data and displaying a corresponding image according to the HDR data, the method further includes:
and when a contrast display instruction triggered by a user is received, simultaneously displaying an image corresponding to the SDR data and an image corresponding to the HDR data in the same interface according to a preset display rule.
Further, to achieve the above object, the present invention also provides an image display terminal comprising a processor, a memory, and an image display program stored on the memory and executable by the processor, wherein the image display program when executed by the processor implements the steps of:
obtaining standard dynamic range SDR data, and carrying out coding reduction processing on the SDR data to obtain original linear data corresponding to the SDR data;
performing High Dynamic Range (HDR) conversion on the original linear data according to the peak brightness of the image display terminal to obtain nonlinear data;
and performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data.
Optionally, the step of obtaining standard dynamic range SDR data, and performing coding reduction processing on the SDR data to obtain original linear data corresponding to the SDR data includes:
acquiring SDR data, and carrying out normalization processing on the SDR data according to the signal bit depth of an SDR image to obtain normalized data;
and carrying out linear reduction processing on the normalized data according to the gamma characteristic or the electro-optical conversion (EOTF) characteristic of the SDR display system to obtain original linear data corresponding to the SDR data.
Optionally, the performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data includes:
performing gamma presetting on the nonlinear data according to the gamma characteristic or the electro-optic conversion (EOTF) characteristic of an SDR (standard definition television) display system, and adjusting the nonlinear data according to a preset adjusting factor to obtain HDR (high data rate) data;
displaying a corresponding image according to the HDR data;
the image display program, when executed by the processor, further implements the steps of:
and when a manual brightness adjusting instruction triggered by a user is received, adjusting the HDR data according to the manual brightness adjusting instruction to adjust the brightness of the current display image, and adjusting the preset adjusting factor according to the adjusted HDR data.
Optionally, when executed by the processor, the image display program further implements the following steps:
and when a comparison display instruction triggered by a user is received, simultaneously displaying the image corresponding to the SDR data and the image corresponding to the HDR data in the same interface according to a preset display rule.
Further, to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon an image display program which, when executed by a processor, realizes the steps of the image display method as described above.
The method comprises the steps of obtaining standard dynamic range SDR data, and carrying out coding reduction processing on the SDR data to obtain original linear data corresponding to the SDR data; performing High Dynamic Range (HDR) conversion on the original linear data according to the peak brightness of the image display terminal to obtain nonlinear data; and performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data. Through the mode, the SDR original content is restored into original linear data, the original data is subjected to MAPPING (MAPPING) again, and image data matched with a target HDR display is obtained, so that the SDR content can be displayed on the HDR display with reasonable brightness, the characteristic of high dynamic of the HDR content is presented, and user experience is improved.
Drawings
Fig. 1 is a schematic diagram of a hardware configuration of an image display terminal according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of an image displaying method according to the present invention;
fig. 3 is a schematic diagram of a detailed flow of performing gamma preset adjustment on the nonlinear data to obtain HDR data and performing image display according to the HDR data in fig. 2;
FIG. 4 is a flowchart illustrating an image display method according to a second embodiment of the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main idea of the embodiment scheme of the invention is as follows: obtaining standard dynamic range SDR data, and carrying out coding reduction processing on the SDR data to obtain original linear data corresponding to the SDR data; performing HDR conversion on the original linear data according to the peak brightness of the HDR display with the high dynamic range to obtain nonlinear data; and performing gamma preset adjustment on the nonlinear data to obtain HDR data, and performing image display according to the HDR data.
Referring to fig. 1, fig. 1 is a schematic diagram of a hardware structure of an image display terminal according to an embodiment of the present invention.
The image display terminal in the embodiment of the invention can be a terminal device which is provided with an HDR display screen and has a display and play function, such as an intelligent television, an intelligent mobile phone, a tablet computer and a portable computer. As shown in fig. 1, the image display terminal of the embodiment of the present invention may include a processor 1001 (e.g., CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used for implementing connection communication among the components; the user interface 1003 includes a Display (Display), an input unit such as a Keyboard (Keyboard); the network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface); the memory 1005 may be a high-speed RAM memory, or may be a non-volatile memory (e.g., a magnetic disk memory), and optionally, the memory 1005 may be a storage device independent of the processor 1001.
Optionally, the image display terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust brightness of the display screen according to brightness of ambient light, and the proximity sensor may turn off the display screen and/or the backlight according to a distance between the photosensitive device and the reference object. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when the mobile terminal is stationary, and can be used for applications of recognizing terminal gestures (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; of course, the image display terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
It will be understood by those skilled in the art that the hardware configuration of the image display terminal shown in fig. 1 does not constitute a limitation of the image display terminal of the present invention, and may include more or less components than those shown, or combine some components, or arrange different components.
With continued reference to fig. 1, the memory 1005 of fig. 1, which is one type of computer storage medium, may include an operating system, a network communication module, and an image display program.
In the terminal shown in fig. 1, the network communication module is mainly used for connecting a server and performing data communication with the server; and the processor 1001 may call up the image display program stored in the memory 1005 and perform the following operations:
acquiring standard dynamic range SDR data, and carrying out coding reduction processing on the SDR data to obtain original linear data corresponding to the SDR data;
performing High Dynamic Range (HDR) conversion on the original linear data according to the peak brightness of the image display terminal to obtain nonlinear data;
and performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data.
Further, the step of obtaining standard dynamic range SDR data and performing coding reduction processing on the SDR data to obtain original linear data corresponding to the SDR data includes:
obtaining SDR data, and carrying out normalization processing on the SDR data according to the signal bit depth of an SDR image to obtain normalized data;
and carrying out linear reduction processing on the normalized data according to the gamma characteristic or the electro-optical conversion EOTF characteristic of the SDR display system to obtain original linear data corresponding to the SDR data.
Further, the step of performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data includes:
performing gamma presetting on the nonlinear data according to the gamma characteristic or the electro-optic conversion (EOTF) characteristic of an SDR (standard definition television) display system, and adjusting the nonlinear data according to a preset adjusting factor to obtain HDR (high data rate) data;
displaying a corresponding image according to the HDR data;
the image display program, when executed by the processor, further implements the steps of:
and when a manual brightness adjusting instruction triggered by a user is received, adjusting the HDR data according to the manual brightness adjusting instruction to adjust the brightness of the current display image, and adjusting the preset adjusting factor according to the adjusted HDR data.
Further, when executed by the processor, the image display program further implements the steps of:
and when a comparison display instruction triggered by a user is received, simultaneously displaying the image corresponding to the SDR data and the image corresponding to the HDR data in the same interface according to a preset display rule.
Based on the hardware structure of the image display terminal, various embodiments of the image display method of the present invention are proposed.
Referring to fig. 2, fig. 2 is a flowchart illustrating an image display method according to a first embodiment of the present invention.
In this embodiment, the image display method includes the steps of:
step S10, obtaining standard dynamic range SDR data, and carrying out coding reduction processing on the SDR data to obtain original linear data corresponding to the SDR data;
Standard-Dynamic Range SDR (Standard-Dynamic Range), originating from the age of CRT displays, has a Standard luminance of 100cd/m 2 The adopted color space is BT709 (high definition) or BT601 (standard definition), and BT1886 (gamma) 8bit quantization coding is adopted. With the continuous development and update of display technologies, the current LCD and OLED display devices begin to adopt a High Dynamic Range HDR (High Dynamic Range) display technology, which adopts the color space of BT2020, so that the color gamut is greatly expanded, and the brightness far exceeds that of CRT devices. SDR content is produced based on 100cd/m2, so that only 100cd/m 2 Only on the SDR display, the image state of the director end can be faithfully reproduced. While the current SDR adopts an EOTF (electro-optical transfer characteristic) of BT1886, which is a relative quantization coding system, therefore the same 100cd/m 2 The content produced was recorded at 1000cd/m using the same EOTF 2 The reproduced brightness is then scaled linearly, i.e.: original 100cd/m 2 Original SDR content pixel point of 1000cd/m 2 The display is 1000cd/m 2 . Therefore, the original SDR content with lower average brightness is 1000cd/m with high brightness 2 When the display is displayed on the display, the average brightness is too high, so that the user feels uncomfortable and dazzling.
For the above reasons, the present embodiment proposes an image display method to solve the technical problem of too high brightness when displaying SDR image content on HDR display.
Specifically, the image display method in this embodiment is applied to an image display terminal, where the image display terminal may be a terminal device having an HDR display screen and a display and play function, such as a smart television, a smart phone, a tablet computer, and a portable computer, and in this embodiment, a smart television having an HDR display screen is described. When a user opens the intelligent television to watch a certain program, the intelligent television acquires program data corresponding to the program through a network; the program data is in a standard dynamic range SDR form, while the smart television is a display screen with a high dynamic range HDR, and if image display is directly carried out according to the SDR data, the problem of overhigh brightness can occur; therefore, the SDR data of the program needs to be converted into corresponding HDR data, and then image display is performed according to the HDR data. At this time, the smart television restores the SDR data, and because the existing SDR display system obtains the SDR data by performing BT1886 (gamma) 8bit quantization coding on the original linear data L, according to the situation, the SDR data can be restored by coding, so that the original linear data before the SDR data is subjected to quantization coding can be obtained.
Furthermore, in the process of coding and restoring the SDR data in this embodiment, firstly, normalization processing is performed on the SDR data to obtain normalized data; and then carrying out linear reduction processing on the normalized data to obtain original linear data corresponding to the SDR data. The normalization is for the convenience of the following data processing, and the convergence is accelerated when the correction program runs, so that the data is normalized and limited in a required certain range.
The normalization process in this embodiment is performed according to the SDR image signal bit depth, and is performed by using the following formula:
N 1 ＝S SDR /(2 n -1)。
wherein N is 1 To normalized data; s SDR Is SDR data; n is the bit depth of the image signal bit, and usually the bit depth of the SDR image signal is 8 bits, i.e. n is 8. SDR data S before normalization SDR Data values between 0 and 255; after normalization, the resulting normalized data N 1 The data values are between 0 and 1.
After the normalized data are obtained, the normalized data are subjected to linear reduction processing, and linear data of the SDR signals before quantization coding are reduced. The reduction processing in this embodiment is performed based on the gamma characteristic or the electro-optical conversion EOTF characteristic of the SDR display system, and is performed by using the following formula:
L＝N 1 γ 。
wherein, L is original linear data corresponding to SDR data; n is a radical of 1 To normalized data; gamma is the gamma characteristic or the electro-optic conversion EOTF characteristic of the SDR display system. According to the above processing, the original linear data before the SDR data quantization coding is obtained.
Step S20, performing High Dynamic Range (HDR) conversion on the original linear data according to the peak brightness of the image display terminal to obtain nonlinear data;
in this embodiment, when original linear data of a program is restored, the original linear data L may be remapped (mapping) to obtain data suitable for being displayed by the HDR display screen of the smart television. The HDR technology has a maximum characteristic of having a high luminance dynamic range, and therefore, in this embodiment, when original linear data is obtained, a luminance attribute value of an HDR display screen of an image display terminal is obtained, and the original linear data is subjected to HDR conversion according to peak luminance, and is converted into nonlinear data matched with the HDR display screen (that is, original data corresponding to SDR data is re-encoded).
The HDR conversion process in this embodiment is performed by using the following formula:
N＝L γ1 。
wherein N is nonlinear data converted from HDR; l is normalized data; gamma 1=1 alog 10 (Y p /1000)，Y p Is the peak luminance (cd/m) of the display screen 2 ) And a is a constant between 0 and 1.
And S30, performing gamma preset adjustment on the nonlinear data to obtain HDR data, and performing image display according to the HDR data.
In this embodiment, when the nonlinear data is obtained, display is not performed immediately according to the nonlinear data; instead, gamma preset adjustments are made to the non-linear data to counteract the gamma characteristic of the display. Specifically, for a real camera or an imaging device, the relationship between the input energy and the brightness of the color recorded in the picture file is linear; however, since the conventional CRT display (SDR) uses an electronic picture tube which controls the brightness on the display screen by controlling the magnitude of the current, the relationship between the brightness and the current is not linear, which causes the image displayed on the CRT display to be inconsistent with the actual image captured by the image capturing device, and in order to correct this difference, the camera automatically performs a gamma correction on the data while storing the image. For this reason, in the embodiment, when obtaining the nonlinear data, gamma preset adjustment ("inverse gamma" correction) is required for the nonlinear data, so as to obtain HDR data. When the HDR data is obtained, corresponding image content can be displayed according to the HDR data.
The gamma preset adjustment process in this embodiment is performed by using the following formula:
S HDR ＝(2 m -1)N 1/γ 。
wherein S is HDR Is HDR data; m is the bit depth of the output image signal; n is nonlinear data; γ is the gamma characteristic or EOTF characteristic of the SDR display system.
The HDR data obtained through the above process has changed its corresponding EOTF characteristic curve. The average brightness level of the corresponding image has been reduced compared to the SDR corresponding image. At the moment, the intelligent television displays a corresponding image according to the HDR data for a user to watch.
Further, the image display method in this embodiment is implemented by a smart television, but the image display method may also be implemented by other image display devices. The device can also be an external device independent of the television or an internal device installed in the television, and the device has the image display function of the television, and of course, other functions can be correspondingly added to the device, so that the steps of the image display method can be realized.
In the embodiment, original linear data corresponding to standard dynamic range SDR data is obtained by obtaining the SDR data and carrying out coding reduction processing on the SDR data; performing High Dynamic Range (HDR) conversion on the original linear data according to the peak brightness of the image display terminal to obtain nonlinear data; and performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data. Through the method, the original SDR content is restored into original linear data, and then the original data is subjected to MAPPING (MAPPING) to obtain image data matched with a target HDR display, so that the SDR content can be displayed on the HDR display with reasonable brightness, the characteristic of high dynamic of the HDR content is presented, and the user experience is improved.
Referring to fig. 3, fig. 3 is a schematic diagram of a detailed flow of performing gamma preset adjustment on the nonlinear data to obtain HDR data and performing image display according to the HDR data in fig. 2.
Based on the embodiment shown in fig. 2, step S30 includes:
step S31, carrying out gamma presetting on the nonlinear data according to the gamma characteristic or the electro-optic conversion EOTF characteristic of the SDR display system, and adjusting the nonlinear data according to a preset adjusting factor to obtain HDR data;
and step S32, displaying a corresponding image according to the HDR data.
In this embodiment, when the nonlinear data is obtained, display is not performed immediately according to the nonlinear data; instead, gamma preset adjustments are made to the non-linear data to counteract the gamma characteristic of the display. In the process of performing the gamma preset processing, the following formula can be adopted:
S HDR ＝(2 m -1)N 1/γ 。
wherein S is HDR Is HDR data; m is the bit depth of the output image signal; n is nonlinear data; γ is the gamma characteristic or EOTF characteristic of the SDR display system. Y is p Is the peak luminance (cd/m) of the display screen 2 ) And a is a constant between 0 and 1.
In the process of gamma presetting, according to the actual situation, an adjusting factor can be added in the formula of the gamma presetting process for adjustment, so as to perform individual adjustment on HDR data according to the display attributes of different displays. When adding the adjustment factor, the specific adjustment process may use the following formula:
S HDR ＝(2 m -1)N β/γ 。
wherein S is HDR Is HDR data; m is the output image signal bit depth; n is nonlinear data; gamma is gamma characteristic or EOTF characteristic of SDR system; beta is a preset adjustment factor, the data value of which is between 0 and 1, and the preset adjustment factor can be set by a user or a manufacturer when the manufacturer leaves a factory.
The HDR data obtained through the above process has changed its corresponding EOTF characteristic curve. The average brightness level of the corresponding image has been reduced compared to the image corresponding to SDR; meanwhile, the HDR data is further adaptively adjusted by adjusting the adjustment factor beta. At the moment, the intelligent television displays the corresponding image according to the HDR data for the user to watch.
Further, after the smart tv displays the corresponding image according to the HDR data, if the user considers that the brightness is not appropriate (the image is too bright or too dark), the user may manually adjust the display brightness. Specifically, a user can select a corresponding brightness adjustment option through a remote controller or a key on the smart television body, so as to trigger a manual brightness adjustment instruction; when receiving a manual brightness adjustment instruction triggered by a user, the smart television adjusts the HDR data again according to the manual brightness adjustment instruction, so that the brightness of a currently displayed image is changed; when the user completes the manual adjustment operation, the smart television will combine the HDR data manually adjusted by the user with the formula S in step S31 HDR ＝(2 m -1)N β/γ The obtained HDR data are compared, the difference between the HDR data and the HDR data is determined, and then the preset adjusting factor (beta) is automatically adjusted and corrected according to the difference, so that the adjusting algorithm of the intelligent television is more accurate, the data converted according to the adjusting algorithm and the displayed image can better meet the actual watching requirement of a user, and the user experience is improved.
Referring to fig. 4, fig. 4 is a flowchart illustrating an image display method according to a second embodiment of the present invention.
Based on the embodiment shown in fig. 2, after step S30, the method further includes:
and step S40, when a contrast display instruction triggered by a user is received, simultaneously displaying the image corresponding to the SDR data and the image corresponding to the HDR data in the same interface according to a preset display rule.
In the embodiment, when the intelligent television obtains the HDR data, the corresponding image can be displayed according to the HDR data, and the original SDR data is not deleted immediately by the intelligent television; in the watching process, a user can trigger a corresponding instruction, so that the smart television can simultaneously display the image corresponding to the SDR data and the image corresponding to the HDR data in the same interface according to the preset display rule, and the SDR image content and the HDR image content can be compared more intuitively. Specifically, a user can select a corresponding contrast display option through a remote controller or a key on the smart television body, so as to trigger a contrast display instruction; when receiving a contrast display option triggered by a user, the smart television finds original SDR data in a memory, and displays an image in the same interface according to the SDR data and HDR data by a preset display rule; the preset display rule comprises display positions, and a user can set the display positions of two images, for example, a display area of a display screen is averagely divided into a left part and a right part, wherein the left part is used for displaying image content corresponding to SDR data, and the right part is used for displaying image content corresponding to HDR data; certainly, the display area can also be averagely divided into an upper part and a lower part, wherein the upper part is used for displaying the image content corresponding to the SDR data, and the lower part is used for displaying the image content corresponding to the HDR data; certainly, other display modes can be used, so that the user can compare the SDR image content with the HDR image content conveniently, and further adjust the brightness of the image according to the comparison result.
The invention also provides a computer readable storage medium.
The computer-readable storage medium of the present invention stores thereon an image display program that realizes the steps of the image display method as described above when executed by a processor.
The method implemented when the image display program is executed may refer to each embodiment of the image display method of the present invention, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or the portions contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above and includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
1. An image display method applied to an image display terminal, the image display method comprising:
obtaining standard dynamic range SDR data, and carrying out coding reduction processing on the SDR data to obtain corresponding original linear data before the SDR data is quantized and coded;
performing High Dynamic Range (HDR) conversion on the original linear data according to the peak brightness of the image display terminal to obtain nonlinear data;
performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data;
the step of performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data includes:
performing gamma presetting on the nonlinear data according to the gamma characteristic or the electro-optic conversion (EOTF) characteristic of an SDR (standard definition television) display system, and adjusting the nonlinear data according to a preset adjusting factor to obtain HDR (high data rate) data;
displaying a corresponding image according to the HDR data;
the HDR conversion adopts the following formula:
N＝L γ1 ；
wherein N is the nonlinear data; l is the original linear data; gamma 1=1 alog 10 (Y p /1000)，Y p A is a constant between 0 and 1 for the peak luminance;
the step of obtaining standard dynamic range SDR data, coding and restoring the SDR data and obtaining corresponding original linear data before the SDR data is quantized and coded comprises the following steps:
obtaining SDR data, and carrying out normalization processing on the SDR data according to the signal bit depth of an SDR image to obtain normalized data;
performing linear reduction processing on the normalized data according to the gamma characteristic or the electro-optical conversion EOTF characteristic of the SDR display system to obtain original linear data corresponding to the SDR data;
the normalization processing adopts the following formula:
N 1 ＝S SDR /(2 n -1)，
wherein N is 1 To normalized data; s SDR Is the SDR numberAccordingly; n is the SDR image signal bit depth.
2. The image display method as claimed in claim 1, wherein after the step of performing gamma preset adjustment on the nonlinear data to obtain HDR data and displaying a corresponding image according to the HDR data, the method further comprises:
and when a manual brightness adjusting instruction triggered by a user is received, adjusting the HDR data according to the manual brightness adjusting instruction to adjust the brightness of the current display image, and adjusting the preset adjusting factor according to the adjusted HDR data.
3. The image display method according to any one of claims 1 to 2, wherein after the step of performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data, the method further comprises:
and when a contrast display instruction triggered by a user is received, simultaneously displaying an image corresponding to the SDR data and an image corresponding to the HDR data in the same interface according to a preset display rule.
4. An image display terminal comprising a processor, a memory, and an image display program stored on the memory and executable by the processor, wherein the image display program when executed by the processor implements the steps of:
obtaining standard dynamic range SDR data, and carrying out coding reduction processing on the SDR data to obtain original linear data before quantization coding corresponding to the SDR data;
performing High Dynamic Range (HDR) conversion on the original linear data according to the peak brightness of the image display terminal to obtain nonlinear data;
performing gamma preset adjustment on the nonlinear data to obtain HDR data, and displaying a corresponding image according to the HDR data;
the image display program when executed by the processor further implements the steps of:
performing gamma presetting on the nonlinear data according to the gamma characteristic or the electro-optic conversion (EOTF) characteristic of an SDR (standard definition television) display system, and adjusting the nonlinear data according to a preset adjusting factor to obtain HDR (high data rate) data;
displaying a corresponding image according to the HDR data;
the HDR conversion adopts the following formula:
N＝L γ1 ；
wherein N is the nonlinear data; l is the original linear data; gamma 1=1+ alog 10 (Y p /1000)，Y p A is a constant between 0 and 1 for the peak luminance;
the image display program when executed by the processor further implements the steps of:
acquiring SDR data, and carrying out normalization processing on the SDR data according to the signal bit depth of an SDR image to obtain normalized data;
performing linear reduction processing on the normalized data according to the gamma characteristic or the electro-optical conversion EOTF characteristic of the SDR display system to obtain original linear data corresponding to the SDR data;
the normalization processing adopts the following formula:
N 1 ＝S SDR /(2 n -1)，
wherein N is 1 To normalized data; s SDR Is SDR data; and n is the SDR image signal bit depth.
5. The image display terminal according to claim 4, wherein the image display program, when executed by the processor, further implements the steps of:
and when a manual brightness adjusting instruction triggered by a user is received, adjusting the HDR data according to the manual brightness adjusting instruction to adjust the brightness of the current display image, and adjusting the preset adjusting factor according to the adjusted HDR data.
6. The image display terminal according to any one of claims 4 to 5, wherein the image display program, when executed by the processor, further implements the steps of:
and when a comparison display instruction triggered by a user is received, simultaneously displaying the image corresponding to the SDR data and the image corresponding to the HDR data in the same interface according to a preset display rule.
7. A computer-readable storage medium, characterized in that an image display program is stored thereon, which when executed by a processor implements the steps of the image display method according to any one of claims 1 to 3.
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| CN107590780B (en) * | 2017-08-09 | 2023-01-20 | 深圳Tcl新技术有限公司 | Image display method, terminal and computer readable storage medium |
| CN108495108B (en) * | 2018-03-02 | 2019-11-05 | 深圳创维－Rgb电子有限公司 | Image conversion method and device, terminal, storage medium |
| US10917583B2 (en) * | 2018-04-27 | 2021-02-09 | Apple Inc. | Standard and high dynamic range display systems and methods for high dynamic range displays |
| CN109327734B (en) * | 2018-11-27 | 2020-11-13 | 成都索贝数码科技股份有限公司 | Method for down-converting HDR video to SDR video based on dynamic photometry |
| CN115797154A (en) * | 2021-09-10 | 2023-03-14 | 北京字跳网络技术有限公司 | Color card generation method, image processing device and readable storage medium |
| CN115393197B (en) * | 2022-10-27 | 2023-05-05 | 摩尔线程智能科技(北京)有限责任公司 | Image synthesis method, device and graphic processing equipment |
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