Image processing method, apparatus and terminal
An image processing device and image processing technology, applied in the computer field, can solve the problems of difficult video image real-time beautification processing, large amount of calculation, etc., and achieve the effect of improving user experience and real-time beautification processing
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no. 1 example
[0049] The image processing method described in the first embodiment of the present invention is implemented in terminals such as smart phones and tablet computers.
[0050] The image processing method described in the first embodiment of the present invention includes the following contents.
[0051] Step S1: Obtain the Y component array of the image ("Y" represents the brightness (Luminance or Luma), that is, the grayscale value), the U component array and the V component array ("U" and "V" represent the chroma (Chrominance or Chroma), the function is to describe the color and saturation of the image, and is used to specify the color of the pixel); divide the image into N fuzzy areas, and N is an integer ≧1.
[0052] Step S2: traverse the Y components of the Y component arrays of the N blurred areas; generate a new Y component array.
[0053] Step S3: Synthesize a new image according to the new Y component array, the U component array and the V component array.
[0054] Th...
no. 2 example
[0057] The image processing method described in the second embodiment of the present invention is implemented in terminals such as smart phones and tablet computers.
[0058] The image processing method described in the second embodiment of the present invention includes the following contents.
[0059] Step A1: Obtain the Y component array, U component array and V component array of the image; divide the image into N fuzzy regions, where N is an integer ≧1.
[0060] Step A2: Preset the threshold of the nth blurry area of the N blurry areas, n is an integer ≧1, and n≦N; declare two variables of the nth blurry area of the N blurry areas: The total number of components Sn, the component number mn, the initial values of the total number of components Sn and the component number mn are 0.
[0061] Traverse the Y component of the nth blurred area of the N blurred areas, and execute step A3.
[0062] Step A3: Obtain the central Y component of the nth blurred area; calculat...
no. 3 example
[0077] refer to figure 2 , is a schematic diagram of the image processing device according to the third embodiment of the present invention. The image processing device described in the third embodiment of the present invention is used to implement the image processing method described in the first embodiment of the present invention.
[0078] The image processing device described in the third embodiment of the present invention includes:
[0079] The preprocessing module 1 is used to obtain the Y component array, the U component array and the V component array of the image; the image is divided into N fuzzy areas, and N is an integer ≧1;
[0080] The Y component processing module 2 is configured to traverse the Y components of the Y component arrays of the N blurred areas; generate a new Y component array;
[0081] The image synthesis module 3 is configured to synthesize a new image according to the new Y component array, the U component array and the V component array.
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