Image coding processing method and device
A technology of image coding and processing methods, applied in the field of image coding processing methods and devices, capable of solving problems such as image coding errors, inaccurate optimal quantization parameters, etc., and achieving the effect of minimum total distortion
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Embodiment 1
[0072] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking running on a mobile terminal as an example, figure 1 It is a hardware structural block diagram of a mobile terminal of an image coding processing method according to an embodiment of the present invention, such as figure 1 As shown, the mobile terminal 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) and a memory 104 for storing data. Optionally, the above-mentioned mobile terminal 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 shown structure is only for illustration, and does not limit the s...
Embodiment 2
[0119] According to another embodiment of the present invention, an image coding processing device is also provided, Figure 6 is a block diagram of an image coding processing device according to an embodiment of the present invention, such as Figure 6 shown, including:
[0120] The down-sampling module 62 is used to perform down-sampling processing on the original image frame to obtain the target image frame;
[0121] A determining module 64, configured to determine a target residual of an image block of the target image frame;
[0122] The input module 66 is configured to input the target residual into the pre-trained target residual network model, and obtain the probability of each quantization parameter corresponding to the target residual output by the target residual network model, wherein, determining a quantization parameter whose probability is greater than a predetermined threshold as a target quantization parameter;
[0123] A generation module 68, configured to...
Embodiment 3
[0147] Embodiments of the present invention also provide a computer-readable storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.
[0148] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:
[0149] S1, performing down-sampling processing on the original image frame to obtain the target image frame;
[0150] S2. Determine a target residual of an image block of the target image frame;
[0151] S3. Input the target residual into the pre-trained target residual network model to obtain the probability of each quantization parameter corresponding to the target residual output by the target residual network model, wherein the probability is greater than A quantization parameter with a predetermined threshold is determined as a target quantization parameter;
[0152] S4. ...
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