Image optimization method, apparatus, device and storage medium
AssigneeSamsung Electronics Co., Ltd.
InventorsJianxing Zhang, Zikun Liu, Chunyang Li, Jian Yang, Wei Wen
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Abstract
The disclosure provides an image optimization method, system, and storage medium. The image optimization method includes extracting texture quality information from an input image. The texture quality information indicates a spatial distribution of texture quality in the input image. The image optimization method also includes performing, according to the texture quality information, texture restoration on a set region in the input image to generate a texture restored image.
Claims13
A method for operating an electronic device, the method comprising:
- acquiring an input image;
- extracting texture quality information from the input image, the texture quality information indicating a spatial distribution of texture quality in the input image, wherein the texture quality information indicating the spatial distribution of texture quality is embodied in the input image as a texture quality map or a probability map of a degree of texture quality of each pixel forming the input image;
- based on the texture quality information, setting a region to be restored in the input image;
- and
- performing texture restoration on the set region in the input image, using image information inside the set region and image information outside the set region,
- wherein texture quality within the set region is lower than a preset threshold value, and
- wherein the image information inside the set region used for the texture restoration comprises texture quality information and a color.
An electronic device comprising:
- a first processor;
- and
- a memory connected to the first processor configured to store machine-readable instructions that when executed by the first processor to cause the first processor to:
- acquire an input image,
- extract texture quality information from the input image, the texture quality information indicating a spatial distribution of texture quality in the input image, wherein the texture quality information indicating the spatial distribution of texture quality is embodied in the input image as a texture quality map or a probability map of a degree of texture quality of each pixel forming the input image,
- based on the texture quality information, set a region to be restored in the input image, and
- perform texture restoration on the set region in the input image, using image information inside the set region and image information outside the set region,
- wherein texture quality within the set region is lower than a preset threshold value, and
- wherein the image information inside the set region used for the texture restoration comprises texture quality information and a color.
A non-transitory machine-readable storage medium comprising machine-readable instructions that when executed by a processor to cause the processor to:
- acquire an input image,
- extract texture quality information from the input image, the texture quality information indicating a spatial distribution of texture quality in the input image, wherein the texture quality information indicating the spatial distribution of texture quality is embodied in the input image as a texture quality map or a probability map of a degree of texture quality of each pixel forming the input image,
- based on the texture quality information, set a region to be restored in the input image, and
- perform texture restoration on the set region in the input image, using image information inside the set region and image information outside the set region,
- wherein texture quality within the set region is lower than a preset threshold value, and
- wherein the image information inside the set region used for the texture restoration comprises texture quality information and a color.
Dependencies are inferred from the claim text.