A method and device for evaluating the quality of super-resolution reconstruction
A technology for super-resolution reconstruction and evaluation methods, which is applied in image analysis, image enhancement, instrumentation, etc., and can solve problems such as subjective errors, different visual acuity of human eyes, and difficulty in reaching agreement on evaluation results.
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Embodiment 1
[0029] like figure 1 As shown, the embodiment of the present application provides a method for evaluating the quality of super-resolution reconstruction, and the execution body of the method may be a terminal device, such as a computer, a mobile phone, etc., or a server. The method specifically may include the following steps:
[0030] In step S101, an image to be processed whose image resolution is smaller than a predetermined resolution threshold is acquired.
[0031] Wherein, the image resolution may be the number of pixels included in the image in units of inches. The resolution threshold can be set according to the actual situation, such as 320x240 or 800x480. The image to be processed can be a remote sensing image, a video image, or an image produced according to its purpose (such as a hierarchical frequency conversion rectangular raster image, etc.).
[0032]In practice, spatial resolution is the smallest size of spatial detail that can be resolved in an image. Amon...
Embodiment 2
[0042] like figure 2 As shown, the embodiment of the present application provides a method for evaluating the quality of super-resolution reconstruction, and the execution body of the method may be a terminal device or a server. Specifically, it can include the following:
[0043] Since the spatial resolution can be obtained in various ways, and the images to be processed can be different under different acquisition methods, the embodiment of the present application takes the acquisition of the spatial resolution based on the cut-off frequency rule of the modulation transfer function as an example to describe in detail. The situation of obtaining the spatial resolution in other manners or methods may be implemented with reference to the embodiments of the present application, and details are not repeated here.
[0044] In step S201 , a step-by-step rectangular raster image with a contrast higher than a predetermined contrast threshold is obtained.
[0045] Wherein, the cont...
Embodiment 3
[0107] The above is a method for evaluating the quality of super-resolution reconstruction provided by the embodiment of the present application. Based on the same idea, the embodiment of the present application also provides a device for evaluating the quality of super-resolution reconstruction, such as Figure 7 shown.
[0108] The evaluation device of the super-resolution reconstruction quality can be a computer device such as a terminal device or a server, and can also be set in a computer device such as a terminal device or a server. The device includes: an image acquisition module 701 to be processed, an image reconstruction module 702 and an evaluation module 703, wherein,
[0109] The image-to-be-processed acquisition module 701 is configured to acquire an image to be processed whose image resolution is smaller than a predetermined resolution threshold.
[0110] The image reconstruction module 702 is configured to perform image reconstruction on the image to be proces...
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