Scientific image vision enhancement system and method based on aesthetic experience

Abstract

The invention discloses a scientific image vision enhancement system and method based on aesthetic experience, and the system comprises a layer division module which is used for dividing a gray image into a plurality of sub-layers; the output end of the layer division module is connected with an L channel and an ab channel; s1, inputting a grayscale picture; s2, dividing the grayscale picture into n sub-picture layers; s3, inputting the single sub-layers into the L channel and the ab channel in sequence at the same time; s4, the L channel extracts the brightness features of the sub-layers, and maps the brightness features to the ab channel; s5, the ab channel fills the sub-layers with the colors of the color points in the color system space according to the brightness features; according to the method, the color filling process is associated with the brightness characteristics, so that the bright position is filled with less color according to the characteristics of the electron microscope grey-scale map, the accuracy and intuition of the electron microscope map are not influenced, and meanwhile, the visual aesthetic experience of the electron microscope map can be improved through color filling.

Description

Technical Field

[0001] The present invention belongs to the field of science teaching technology, and in particular relates to a scientific image visual enhancement system and method based on aesthetic experience. Background Art

[0002] When conducting science popularization, electron microscopes are often used to take electron microscope images in order to help learners understand the microscopic world. Teaching staff can use electron microscope images to popularize microscopic knowledge to learners. However, since electron microscope images are grayscale images, the aesthetic effect is not good and the distinction between microscopic substances is not obvious. Summary of the invention

[0003] In view of the shortcomings of the prior art, the present invention provides a scientific image visual enhancement system based on aesthetic experience. The specific technical solution is as follows:

[0004] A scientific image visual enhancement system based on aesthetic experience, comprising a layer division module, wherein the layer division module is used to divide a grayscale image into a plurality of sub-layers;

[0005] The output end of the layer division module is connected to the L channel and the ab channel; the L channel has a built-in brightness feature extraction unit, and the ab channel has a built-in matching unit and a color space, and the matching unit is used to match the brightness feature input by the brightness feature extraction unit with the color space;

[0006] The output end of the ab channel is connected to the enhanced image output module, and the enhanced image output module is built with a layer filling unit, and the layer filling unit is used to fill the matching color in the color space into the sub-layer.

[0007] Furthermore, the color space has a plurality of color modules built in, each color module has a plurality of color point units built in, and the color depths of the plurality of color point units change in a stepwise manner from colorless to light color to dark color.

[0008] A method for visual enhancement of scientific images based on aesthetic experience, the method comprising the following steps:

[0009] S1, input grayscale image;

[0010] S2, divide the grayscale image into n sub-layers;

[0011] S3, inputting a single sub-layer into the L channel and the ab channel simultaneously in sequence;

[0012] S4, L channel extracts the brightness features of the sub-layer and maps the brightness features to the ab channel;

[0013] S5, ab channel fills the color point color in the color space into the sub-layer according to the brightness feature, according to the rule: the brightness feature level and the depth of the color point are inversely matched;

[0014] S6, the n colored sub-layers are combined into a primary coloring picture;

[0015] S7. Convert the format of the primary coloring picture and output an image enhancement picture.

[0016] Further, in S2, the sub-layer is a single square pixel, and the brightness characteristics of the pixel are characterized by the brightness characteristics of the sub-layer.

[0017] Furthermore, in S5, the ab channel fills the color point in the color space into the sub-layer according to the brightness feature. The specific steps are:

[0018] S5.1. Select a desired color module in the color space, where the color module includes m color point units, and the color depth of the m color point units gradually changes from colorless to dark;

[0019] S5.2, evaluating the brightness characteristics of the sub-layer;

[0020] S5.3, matching the brightness characteristic level of the sub-layer with the color point unit of the color system module according to the rule;

[0021] S5.4. Fill the sublayer with the color corresponding to the successfully matched color point unit.

[0022] Further, in S2, the n sub-layers include a background sub-layer and n-1 outline sub-layers;

[0023] The method for extracting the contour sub-layer is as follows: select the brightness boundary of the grayscale image, and the area enclosed by each closed brightness boundary is a contour sub-layer;

[0024] The method for extracting the background sub-layer is as follows: the area enclosed by each contour sub-layer is removed from the grayscale image to obtain the background sub-layer.

[0025] Furthermore, in S5, the ab channel fills the color point in the color space into the sub-layer according to the brightness feature. The specific steps are:

[0026] S5.1. Select a desired color module in the color space, where the color module includes m color point units, and the color depth of the m color point units gradually changes from colorless to dark;

[0027] S5.1, the background sub-layer is directly filled with the color corresponding to the darkest color point unit, and n-1 outline sub-layers are synchronously output to the processing program;

[0028] S5.2, dividing the input contour sub-layer into pixels;

[0029] S5.3, grading and evaluating the brightness characteristics of each pixel;

[0030] S5.4, matching the brightness characteristic level of the pixel point with the color point unit of the color system module according to the rule;

[0031] S5.5. The color corresponding to the successfully matched color point unit is filled into the pixel point until the sub-layer is completely filled.

[0032] Furthermore, the visual enhancement method further comprises:

[0033] S8, color-differentiated filling:

[0034] S8.1. Select the module to be distinguished in the image enhancement picture;

[0035] S8.2, extracting k module sub-layers to be distinguished;

[0036] S8.3, k module sub-layers to be distinguished are synchronously input to the processing program;

[0037] S8.4, selecting a desired color module in the color space;

[0038] S8.5, dividing the input sub-layer into pixels;

[0039] S8.6, evaluating the brightness characteristics of each pixel;

[0040] S8.7, matching the brightness characteristic level of the pixel point with the color point unit of the color system module according to the rule; the visual enhancement method further includes:

[0041] S8.8, fill the pixel with the color corresponding to the successfully matched color point unit. The color filled in this step will cover the color filled in S5 until the sub-layer is completely filled;

[0042] S8.9, the k colored module sub-layers to be distinguished are synthesized again with the image enhanced picture output by S7 to obtain a composite image enhanced picture.

[0043] Furthermore, the visual enhancement method further comprises:

[0044] S8, color-differentiated filling:

[0045] S8.1, select the module to be distinguished in the outline sublayer in S5;

[0046] S8.2, extracting k module sub-layers to be distinguished;

[0047] S8.3, k module sub-layers to be distinguished are synchronously input to the processing program;

[0048] S8.4, selecting a desired color module in the color space;

[0049] S8.5, dividing the input sub-layer into pixels;

[0050] S8.6, evaluating the brightness characteristics of each pixel;

[0051] S8.7, matching the brightness characteristic level of the pixel point with the color point unit of the color system module according to the rule;

[0052] S8.8, fill the pixel with the color corresponding to the successfully matched color point unit. The color filled in this step will cover the color filled in S5 until the sub-layer is completely filled;

[0053] S8.9, the k colored module sub-layers to be distinguished are synthesized again with the image enhanced picture output by S7 to obtain a composite image enhanced picture.

[0054] The beneficial effect of the present invention is that the color filling process is associated with the brightness characteristics, so that according to the characteristics of the electron microscope grayscale image, the bright position can be ensured to have less color filling, which will not affect the accuracy and intuitiveness of the electron microscope image. At the same time, the visual aesthetic experience of the electron microscope image can be improved by coloring. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 A schematic diagram of a scientific image visual enhancement system of the present invention is shown;

[0056] Figure 2 A schematic diagram showing the working principle of the matching unit of the present invention is shown. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] like Figure 1 As shown, a scientific image visual enhancement system based on aesthetic experience includes a layer division module, wherein the layer division module is used to divide a grayscale image into multiple sub-layers;

[0059] The output end of the layer division module is connected to the L channel and the ab channel; the L channel is built with a brightness feature extraction unit, and the ab channel is built with a matching unit and a color space, and the matching unit is used to match the brightness feature input by the brightness feature extraction unit with the color space; the color filling process is associated with the brightness feature, so that according to the characteristics of the electron microscope grayscale image, it can be ensured that the bright position is filled with less color, which will not affect the accuracy and intuitiveness of the electron microscope image, and at the same time, the visual aesthetic experience of the electron microscope image can be improved by coloring;

[0060] The output end of the ab channel is connected to the enhanced image output module, and the enhanced image output module is built with a layer filling unit, and the layer filling unit is used to fill the matching color in the color space into the sub-layer;

[0061] The color space has multiple color modules built in, each color module has multiple color point units built in, and the color depth of the multiple color point units changes step by step from colorless to light color to dark color. By arranging the color point units that change step by step, the coloring needs of different brightness can be met.

[0062] Embodiment 1

[0063] A method for visual enhancement of scientific images based on aesthetic experience, the method comprising the following steps:

[0064] S1, input grayscale image;

[0065] S2, dividing the grayscale image into n sub-layers; the sub-layer is a single square pixel, and the brightness characteristics of the pixel are characterized by the brightness characteristics of the sub-layer; by dividing the grayscale image into a plurality of sufficiently small pixels, in this way, only a single pixel needs to be directly filled in the subsequent process, and then the pixels are synthesized to obtain an enhanced image. In this way, the sub-layer division and synthesis are simple, and the procedure is simple. An exemplary sub-layer is a pixel of 1 μm*1 μm;

[0066] S3, inputting a single sub-layer into the L channel and the ab channel simultaneously in sequence;

[0067] S4, extract the brightness feature of the sub-layer from the L channel, and map the brightness feature to the ab channel; this step is used to extract the brightness information of the sub-layer as the basic information for subsequent coloring of the ab channel;

[0068] S5, ab channel fills the color point color in the color space into the sub-layer according to the brightness feature, according to the rule: the brightness feature level and the depth of the color point are inversely matched;

[0069] The specific steps are:

[0070] S5.1. Select a desired single color module in the color space. The color module includes m color point units. The color depth of the m color point units changes from colorless to dark color. This method is a method of filling a single color. The only difference is the color depth. The m color point units are color point unit No. 1, color point unit No. 2, and color point unit No. m in sequence. The color depth increases in sequence. Color point unit No. 1 is colorless.

[0071] S5.2, the brightness characteristics of the sub-layer are graded and evaluated; this step is used to evaluate the brightness characteristics for subsequent targeted matching, and the evaluation levels are m,

[0072] Determine the maximum and minimum brightness of the input grayscale image, and the brightness difference = maximum brightness / m;

[0073] After the brightness difference is determined, m brightness levels and the brightness range of each level can be automatically listed. When dividing the levels, it should be ensured that the highest brightness level is colorless and the lowest brightness level is the darkest color.

[0074] Identify the brightness value of each pixel, match the brightness value with the brightness range of each brightness level, determine the brightness level of the pixel, and establish the association between each brightness level and the corresponding level color point unit; first level brightness, second level brightness...m level brightness, etc., the brightness decreases in sequence;

[0075] S5.3, matching the brightness characteristic level of the sub-layer with the color point unit of the color system module according to the rule; in this step, when the brightness characteristic level value is the same as the color point unit sequence number, the matching is completed. For example, the first brightness corresponds to the color point unit No. 1;

[0076] S5.4. Fill the sublayer with the color corresponding to the successfully matched color point unit;

[0077] S6, the n colored sub-layers are combined into a primary coloring picture;

[0078] S7, converting the format of the primary coloring picture to obtain an image enhancement picture as output; this step is used to convert the picture in Lab format into the picture in RGB format;

[0079] Embodiment 2

[0080] A method for visual enhancement of scientific images based on aesthetic experience, the method comprising the following steps:

[0081] S1, input grayscale image;

[0082] S2, dividing the grayscale image into n sub-layers; the n sub-layers include a background sub-layer and n-1 outline sub-layers;

[0083] The method for extracting the contour sub-layer is as follows: select the brightness boundary of the grayscale image, and the area enclosed by each closed brightness boundary is a contour sub-layer;

[0084] The method for extracting the background sub-layer is as follows: the grayscale image is removed from the area surrounded by each contour sub-layer to obtain the background sub-layer; since the material parts in the electron microscope image are all highlighted parts, in this step, the highlighted parts are first extracted and gradient filled, and the grayscale background except the highlighted part is directly filled with the darkest color without the need for matching and filling steps. This is highly efficient, and the matching and filling content is only the highlighted part, with less matching content and less program data processing, thus avoiding program jams;

[0085] S3, inputting a single sub-layer into the L channel and the ab channel simultaneously in sequence;

[0086] S4, L channel extracts the brightness features of the sub-layer and maps the brightness features to the ab channel;

[0087] S5, ab channel fills the color point color in the color space into the sub-layer according to the brightness feature, according to the rule: the brightness feature level and the depth of the color point are inversely matched;

[0088] The specific steps are:

[0089] S5.1. Select a desired color module in the color space, where the color module includes m color point units, and the color depth of the m color point units gradually changes from colorless to dark;

[0090] S5.1. The background sublayer is directly filled with the color corresponding to the darkest color point unit, and n-1 contour sublayers are synchronously output to the processing program; this step is used to achieve that the background sublayer is directly filled with the darkest color without matching processing, and n-1 contour sublayers are synchronously output for processing and synchronous matching;

[0091] S5.2, dividing the input contour sub-layer into pixels; when a single program is processed and run, dividing the contour sub-layer into pixels, so that the following pixel matching and filling can be performed;

[0092] S5.3, grading and evaluating the brightness characteristics of each pixel;

[0093] S5.4, matching the brightness characteristic level of the pixel point with the color point unit of the color system module according to the rule;

[0094] S5.5. The color corresponding to the successfully matched color point unit is filled into the pixel point until the sub-layer is completely filled.

[0095] S6, the n colored sub-layers are combined into a primary coloring picture;

[0096] S7. Convert the format of the primary coloring picture and output an image enhancement picture.

[0097] Embodiment 3: This embodiment is used to fill multiple colors so that the grayscale image can be converted into an image with two colors. This makes it easier to distinguish different substances in the electron microscope image, which is more intuitive and has a better effect.

[0098] S1, input grayscale image;

[0099] S2, dividing the grayscale image into n sub-layers; each sub-layer is a single square pixel, and the brightness characteristics of the pixel are represented by the brightness characteristics of the sub-layer;

[0100] S3, inputting a single sub-layer into the L channel and the ab channel simultaneously in sequence;

[0101] S4, L channel extracts the brightness features of the sub-layer and maps the brightness features to the ab channel;

[0102] S5, ab channel fills the color point color in the color space into the sub-layer according to the brightness feature, according to the rule: the brightness feature level and the depth of the color point are inversely matched;

[0103] The specific steps are:

[0104] S5.1. Select a desired color module in the color space, where the color module includes m color point units, and the color depth of the m color point units gradually changes from colorless to dark;

[0105] S5.2, evaluating the brightness characteristics of the sub-layer;

[0106] S5.3, matching the brightness characteristic level of the sub-layer with the color point unit of the color system module according to the rule;

[0107] S5.4. Fill the sublayer with the color corresponding to the successfully matched color point unit;

[0108] S6, the n colored sub-layers are combined into a primary coloring picture;

[0109] S7, converting the format of the primary coloring picture to obtain an image enhancement picture as output;

[0110] S8, color-differentiated filling:

[0111] S8.1. Select the module to be distinguished in the image enhancement picture; this distinction method is manual secondary selection;

[0112] S8.2, extracting k module sub-layers to be distinguished;

[0113] S8.3, k module sub-layers to be distinguished are synchronously input to the processing program;

[0114] S8.4, selecting a desired color module in the color space;

[0115] S8.5, dividing the input sub-layer into pixels;

[0116] S8.6, evaluating the brightness characteristics of each pixel;

[0117] S8.7, matching the brightness characteristic level of the pixel with the color point unit of the color system module according to the rule;

[0118] S8.8, fill the pixel with the color corresponding to the successfully matched color point unit. The color filled in this step will cover the color filled in S5 until the sub-layer is completely filled. The entire filling process is the same as the filling process of S5, and the processing method is the same. This step can achieve color change without affecting the original image enhancement picture.

[0119] S8.9, the k colored module sub-layers to be distinguished are synthesized again with the image enhanced picture output by S7 to obtain a composite image enhanced picture.

[0120] Embodiment 4: This embodiment is used to fill multiple colors so that the grayscale image can be converted into an image with two colors. This makes it easier to distinguish different substances in the electron microscope image, which is more intuitive and has a better effect.

[0121] S1, input grayscale image;

[0122] S2, dividing the grayscale image into n sub-layers; the n sub-layers include a background sub-layer and n-1 outline sub-layers;

[0123] The method for extracting the contour sub-layer is as follows: select the brightness boundary of the grayscale image, and the area enclosed by each closed brightness boundary is a contour sub-layer;

[0124] The method for extracting the background sub-layer is as follows: the grayscale image is stripped of the area enclosed by each contour sub-layer to obtain the background sub-layer;

[0125] S3, inputting a single sub-layer into the L channel and the ab channel simultaneously in sequence;

[0126] S4, L channel extracts the brightness features of the sub-layer and maps the brightness features to the ab channel;

[0127] S5, ab channel fills the color point color in the color space into the sub-layer according to the brightness feature, according to the rule: the brightness feature level and the depth of the color point are inversely matched;

[0128] The specific steps are:

[0129] S5.1. Select a desired color module in the color space, where the color module includes m color point units, and the color depth of the m color point units gradually changes from colorless to dark;

[0130] S5.1, the background sublayer and n-1 outline sublayers are synchronously output to the processing program;

[0131] S5.2, dividing the input sub-layer into pixels;

[0132] S5.3, grading and evaluating the brightness characteristics of each pixel;

[0133] S5.4, matching the brightness characteristic level of the pixel point with the color point unit of the color system module according to the rule;

[0134] S5.5. The color corresponding to the successfully matched color point unit is filled into the pixel point until the sub-layer is completely filled.

[0135] S6, the n colored sub-layers are combined into a primary coloring picture;

[0136] S7. Convert the format of the primary coloring picture and output an image enhancement picture.

[0137] S8, color-differentiated filling:

[0138] S8.1, select the module to be distinguished in the contour sub-layer in S5; the module to be distinguished in this step comes from the contour sub-layer divided in S2, so that the difficulty and labor of manual extraction can be reduced, and the selection efficiency is higher;

[0139] S8.2, extracting k module sub-layers to be distinguished;

[0140] S8.3, k module sub-layers to be distinguished are synchronously input to the processing program;

[0141] S8.4, selecting a desired color module in the color space;

[0142] S8.5, dividing the input sub-layer into pixels;

[0143] S8.6, evaluating the brightness characteristics of each pixel;

[0144] S8.7, matching the brightness characteristic level of the pixel with the color point unit of the color system module according to the rule;

[0145] S8.8, fill the pixel with the color corresponding to the successfully matched color point unit. The color filled in this step will cover the color filled in S5 until the sub-layer is completely filled;

[0146] S8.9, the k colored module sub-layers to be distinguished are synthesized again with the image enhanced picture output by S7 to obtain a composite image enhanced picture.

[0147] It should be noted that, in this article, if there are first and second, etc., relational terms are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0148] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A scientific image visual enhancement system based on aesthetic experience, characterized by: A layer division module is included, wherein the layer division module is used to divide the grayscale image into multiple sub-layers; The output end of the layer division module is connected to the L channel and the ab channel; the L channel has a built-in brightness feature extraction unit, and the ab channel has a built-in matching unit and a color space, and the matching unit is used to match the brightness feature input by the brightness feature extraction unit with the color space; The output end of the ab channel is connected to the enhanced image output module, and the enhanced image output module is built with a layer filling unit, and the layer filling unit is used to fill the matching color in the color space into the sub-layer.

2. The scientific image visual enhancement system based on aesthetic experience according to claim 1, characterized in that: The color space has a plurality of color modules built in, each color module has a plurality of color point units built in, and the color depths of the plurality of color point units change step by step from colorless to light color to dark color.

3. The method for visual enhancement of scientific images based on aesthetic experience is characterized by: The visual enhancement method comprises the following steps: S1, input grayscale image; S2, divide the grayscale image into n sub-layers; S3, inputting a single sub-layer into the L channel and the ab channel simultaneously in sequence; S4, L channel extracts the brightness features of the sub-layer and maps the brightness features to the ab channel; S5, ab channel fills the color point color in the color space into the sub-layer according to the brightness feature, according to the rule: the brightness feature level and the depth of the color point are inversely matched; S6, the n colored sub-layers are combined into a primary coloring picture; S7. Convert the format of the primary coloring picture and output an image enhancement picture.

4. The scientific image visual enhancement system based on aesthetic experience according to claim 3, characterized in that: In S2, the sub-layer is a single square pixel, and the brightness characteristics of the pixel are represented by the brightness characteristics of the sub-layer.

5. The scientific image visual enhancement system based on aesthetic experience according to claim 3, characterized in that: In S5, the ab channel fills the color point color in the color space into the sub-layer according to the brightness feature. The specific steps are: S5.

1. Select a desired color module in the color space, where the color module includes m color point units, and the color depth of the m color point units gradually changes from colorless to dark; S5.2, evaluating the brightness characteristics of the sub-layer; S5.3, matching the brightness characteristic level of the sub-layer with the color point unit of the color system module according to the rule; S5.

4. Fill the sublayer with the color corresponding to the successfully matched color point unit.

6. The scientific image visual enhancement system based on aesthetic experience according to claim 3, characterized in that: In S2, the n sub-layers include a background sub-layer and n-1 outline sub-layers; The method for extracting the contour sub-layer is as follows: select the brightness boundary of the grayscale image, and the area enclosed by each closed brightness boundary is a contour sub-layer; The method for extracting the background sub-layer is as follows: the area enclosed by each contour sub-layer is removed from the grayscale image to obtain the background sub-layer.

7. The scientific image visual enhancement system based on aesthetic experience according to claim 3, characterized in that: In S5, the ab channel fills the color point color in the color space into the sub-layer according to the brightness feature. The specific steps are: S5.

1. Select a desired color module in the color space, where the color module includes m color point units, and the color depth of the m color point units gradually changes from colorless to dark; S5.1, the background sub-layer is directly filled with the color corresponding to the darkest color point unit, and n-1 outline sub-layers are synchronously output to the processing program; S5.2, dividing the input contour sub-layer into pixels; S5.3, grading and evaluating the brightness characteristics of each pixel; S5.4, matching the brightness characteristic level of the pixel point with the color point unit of the color system module according to the rule; S5.

5. The color corresponding to the successfully matched color point unit is filled into the pixel point until the sub-layer is completely filled.

8. The scientific image visual enhancement system based on aesthetic experience according to claim 3, characterized in that: The visual enhancement method further comprises: S8, color-differentiated filling: S8.

1. Select the module to be distinguished in the image enhancement picture; S8.2, extracting k module sub-layers to be distinguished; S8.3, k module sub-layers to be distinguished are synchronously input to the processing program; S8.4, selecting a desired color module in the color space; S8.5, dividing the input sub-layer into pixels; S8.6, evaluating the brightness characteristics of each pixel; S8.7, matching the brightness characteristic level of the pixel point with the color point unit of the color system module according to the rule; the visual enhancement method further includes: S8.8, fill the pixel with the color corresponding to the successfully matched color point unit. The color filled in this step will cover the color filled in S5 until the sub-layer is completely filled; S8.9, the k colored module sub-layers to be distinguished are synthesized again with the image enhanced picture output by S7 to obtain a composite image enhanced picture.

9. The scientific image visual enhancement system based on aesthetic experience according to claim 8, characterized in that: The visual enhancement method further comprises: S8, color-differentiated filling: S8.1, select the module to be distinguished in the outline sublayer in S5; S8.2, extracting k module sub-layers to be distinguished; S8.3, k module sub-layers to be distinguished are synchronously input to the processing program; S8.4, selecting a desired color module in the color space; S8.5, dividing the input sub-layer into pixels; S8.6, evaluating the brightness characteristics of each pixel; S8.7, matching the brightness characteristic level of the pixel point with the color point unit of the color system module according to the rule; S8.8, fill the pixel with the color corresponding to the successfully matched color point unit. The color filled in this step will cover the color filled in S5 until the sub-layer is completely filled; S8.9, the k colored module sub-layers to be distinguished are synthesized again with the image enhanced picture output by S7 to obtain a composite image enhanced picture.

Images