Image thumbnail generation method, device and terminal
A thumbnail and image technology, applied in the field of communications, can solve the problems of poor image content information accuracy, failure to consider image content information, and thumbnail images that cannot fully express content information, etc., and achieve the effect of improving accuracy.
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Embodiment 1
[0073] see figure 1 , this embodiment provides a method for generating an image thumbnail, the method includes the following steps.
[0074] In step 101, the image is filtered to obtain the edge intensity value of each pixel in the image.
[0075] In this embodiment, the image is filtered to obtain the edge strength value of each pixel in the image, which may include: using a Laplacian edge filter operator, a Sobel edge filter operator, a Robert edge operator, a Prewitt edge operator Or the LOG edge operator filters the image to obtain the edge intensity value of each pixel in the image.
[0076] In this embodiment, the pixel points with relatively close edge intensity values can be considered to have little color difference; the pixel points with relatively large edge intensity values can be considered to have relatively large color difference, therefore, it can be considered that the edge intensity values are between To a certain extent, it reflects the content infor...
Embodiment 2
[0102] see figure 2 , this embodiment provides a method for generating an image thumbnail, the method includes the following steps.
[0103] In step 201, the image is filtered to obtain the edge intensity value of each pixel in the image.
[0104] Wherein, the image filtering can be implemented by using various filtering operators, see the description in Embodiment 1 for details, and will not be repeated here.
[0105] In step 202, use a preset rectangular frame to slide and search on the image, and for the rectangular frame at each position of the sliding search, sum the edge intensity values of all pixels in it to obtain the information content distribution of the rectangular frame value.
[0106] Wherein, the size of the rectangular frame can be set as required, as long as it is smaller than the size of the image. The sliding search performed by the rectangular frame on the image may be a sliding search in any direction, which is not specifically limited in this embodim...
Embodiment 3
[0114] see Figure 3a , this embodiment provides a method for generating an image thumbnail, the method includes the following steps.
[0115] In step 301, the image is filtered to obtain the edge intensity value of each pixel in the image.
[0116] Wherein, the image filtering can be implemented by using various filtering operators, see the description in Embodiment 1 for details, and will not be repeated here.
[0117] In addition, for the convenience of calculation, the edge intensity value can also be normalized to obtain a value in the range of 0 to 255, and then the calculation is performed.
[0118] In step 302, the spatial position attention value of each pixel in the image is calculated by using the attention model established in advance according to the center point of the image and the coordinates of each pixel.
[0119] Wherein, this step may include the following steps:
[0120] Use the following attention model to calculate the spatial position attention value...
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