Image processing method and device
A processing method and image technology, applied in the field of communication, can solve problems such as poor super-resolution reconstruction effect, and achieve the effect of improving super-resolution reconstruction effect
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Embodiment 1
[0026] The method embodiments provided in the embodiments of the present application may be executed in computing devices, computer terminals or similar devices. Taking running on computing devices as an example, figure 1 It is a block diagram of the hardware structure of the computing device of an image processing method according to the embodiment of the present invention. Such as figure 1 As shown, the computing device 10 may include one or more ( figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data. Optionally, the above-mentioned computing device is also A transmission device 106 for communication functions as well as input and output devices 108 may be included. Those of ordinary skill in the art can understand that, figure 1 The structure shown is only for illustration, and it does not li...
Embodiment approach
[0056] In the related art, the negative effects introduced in the super-resolution magnification method based on bitmap processing, such as jagged and blurred, etc., reduce the effect of image magnification and affect the user's perception of the image. In addition, using the method in the related art to forcibly represent the phenomenon of banding may occur, or greatly increase the complexity of the represented data, resulting in the defect that it is difficult to express the realistic image effect with rich color layers in the vector diagram. The traditional vector algorithm includes finding a suitable approximate contour curve and detecting corners. If too many corners are detected, the smoothness of the image will be reduced; otherwise, the sharpness of the image will be reduced, which makes it difficult to determine the parameters of the vector graphics algorithm. Finally, the neural network-based method in the related art has the problem of fixed magnification, and expand...
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