Method and device for processing mobile terminal images
A mobile terminal and image processing technology, applied in the field of image processing, can solve problems such as high computational complexity, distortion, and increasing vertical neighborhood pixel constraints
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Embodiment 1
[0085] The image processing method of this embodiment is as figure 1 shown, including the following steps:
[0086] Step 10, performing ROI detection on the image to be processed according to the pre-acquired ROI prior information;
[0087] Preferably, the above-mentioned prior information of the region of interest can be pre-obtained in the following manner: provide the user with one or more images, each image contains one or more types of targets, and prompt the user to mark their interest in the provided images the target; calculate the characteristic parameters of the target of interest calibrated by the user; save the characteristic parameter of the target of interest of the user as prior information to the current user's standard target of interest library.
[0088] Preferably, the region-of-interest detection of the image to be processed is performed according to the pre-acquired prior information of the region of interest, including:
[0089] Step 101, divide the ima...
Embodiment 2
[0114] The device for realizing the above method is as figure 2 As shown, including the region of interest detection module and the resolution improvement module, where:
[0115] The region of interest detection module is used to pair the
[0116] Region-of-interest detection for the image to be processed;
[0117] Preferably, the ROI detection module includes a region division unit, a second calculation unit and a comparison unit, wherein:
[0118] The area division unit is used to divide the image to be processed into one or more object areas according to similar features inside the image;
[0119] The second calculation unit is used to calculate the characteristic parameters of the object area;
[0120] The comparison unit is configured to perform a similarity comparison between the feature parameters of the object area and the feature parameters in the standard area of interest target library, and determine the object area whose similarity with the standard feature...
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