Image processing apparatus, method for processing image and computer-readable recording medium

1. An image processing apparatus, comprising:

a processor configured to:

in response to an image including a plurality of frames being input, acquire a feature value of the plurality of frames by inputting the image to a layer to acquire a structural feature of an image,

acquire a parameter of the plurality of frames by normalizing the acquired feature value using an image quality figure, the image quality figure corresponding to a compression rate of each of the plurality of frames, and

process the input image by using the parameter; and

an output interface configured to output the processed image,

wherein the processor is further configured to: normalize the acquired feature value by using a first parameter, and acquire the feature value of the plurality of frames by using a second parameter, and

wherein the second parameter has a same value even if a compression rate of a frame is changed.

2. The image processing apparatus as claimed in claim 1 , further comprising:

a memory configured to store a predetermined parameter corresponding to a plurality of predetermined compression rates,

wherein the processor is further configured to:

in a case that a compression rate of a frame is one of the plurality of predetermined compression rates, perform an image process using a parameter corresponding to the compression rate from among the stored parameter, and

in a case that a compression rate of a frame is different from the plurality of predetermined compression rates, perform an image process by calculating a new parameter and store the new parameter in the memory.

3. The image processing apparatus as claimed in claim 2 , wherein the processor is further configured to:

analyze linearity between a compression rate and a parameter by using the plurality of predetermined compression rates and the predetermined parameter; and

calculate a new parameter corresponding to a new compression rate based on the analyzed linearity.

4. The image processing apparatus as claimed in claim 2 , wherein the predetermined parameter is calculated as a result of machine learning of a plurality of frames having a same compression rate.

5. The image processing apparatus as claimed in claim 1 ,

wherein an image process is at least one of decoding and image quality improvement process for the plurality of frames, and

wherein the parameter is a parameter for the decoding and the image quality improvement process.

6. The image processing apparatus as claimed in claim 1 , wherein the processor is further configured to acquire a compression rate of the plurality of frames by using a metadata of the plurality of frames.

7. The image processing apparatus as claimed in claim 1 , wherein the output interface includes a communication interface for transmitting the processed image to an external apparatus.

8. The image processing apparatus as claimed in claim 1 , wherein the output interface includes a display for displaying the processed image.

9. A method for processing an image, the method comprising:

receiving input of an image including a plurality of frames;

acquiring a feature value of the plurality of frames by inputting the image to a layer to acquire a structural feature of an image;

acquiring a parameter of the plurality of frames by normalizing the acquired feature value using an image quality figure, the image quality figure corresponding to a compression rate of each of the plurality of frames;

processing the input image by using the parameter; and

outputting the processed image,

wherein acquiring the parameter of the plurality of frames comprises normalizing the acquired feature value by using a first parameter,

wherein the acquire the feature value comprises acquiring the feature value of the plurality of frames by using a second parameter, and

wherein the second parameter has a same value even if a compression rate of a frame is changed.

10. The method as claimed in claim 9 , further comprising:

storing a predetermined parameter corresponding to a plurality of predetermined compression rates,

wherein the processing the image comprises:

in a case that a compression rate of a frame is one of the plurality of predetermined compression rates, performing an image process using a parameter corresponding to the compression rate from among the stored parameter, and

in a case that a compression rate of a frame is different from the plurality of predetermined compression rates, performing an image process by calculating a new parameter and storing the new parameter in a memory.

11. The method as claimed in claim 10 , wherein the processing the image comprises:

analyzing linearity between a compression rate and a parameter by using the plurality of predetermined compression rates and the predetermined parameter; and

calculating a new parameter corresponding to a new compression rate based on the analyzed linearity.

12. The method as claimed in claim 10 , wherein the predetermined parameter is calculated as a result of machine learning of a plurality of frames having a same compression rate.

13. The method as claimed in claim 9 ,

wherein the processing of the image is at least one of decoding and image quality improvement process for the plurality of frames, and,

wherein the parameter is a parameter for the decoding and the image quality improvement process.

14. The method as claimed in claim 9 , further comprising:

acquiring a compression rate of the plurality of frames by using a metadata of the plurality of frames.

15. The method as claimed in claim 9 , wherein the outputting comprises displaying the processed image or transmitting the processed image to an external apparatus.

16. A non-transitory computer-readable recording medium comprising a program for executing a method for processing an image, wherein the method for processing the image comprises:

receiving input of an image including a plurality of frames;

acquiring a feature value of the plurality of frames by inputting the image to a layer to acquire a structural feature of an image;

acquiring a parameter of the plurality of frames by normalizing the acquired feature value using an image quality figure, the image quality figure corresponding to a compression rate of each of the plurality of frames; and

processing the input image by using the acquired parameter,

wherein acquiring the parameter of the plurality of frames comprises normalizing the acquired feature value by using a first parameter,

wherein the acquire the feature value comprises acquiring the feature value of the plurality of frames by using a second parameter, and

wherein the second parameter has a same value even if a compression rate of a frame is changed.