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An image-in-noise technology, applied in the information field, can solve the problems of reduced performance and more time spent in the dictionary, and achieve the effect of reducing processing time, improving image quality, and saving computing resources.
Inactive Publication Date: 2017-12-26
NOKIA TECHNOLOGLES OY
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However, the performance of this method will degrade if the dictionary does not
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[0029] The embodiments of the present disclosure are described below with reference to the drawings. In the following description, many specific details are set forth to enable those skilled in the art to understand and implement the present disclosure more comprehensively. However, it is obvious to those skilled in the art that the embodiments of the present disclosure can be implemented without some of these specific details. In addition, it should be understood that the present disclosure is not limited to the specific embodiments described. On the contrary, it may be considered to implement the embodiments of the present disclosure with any combination of the features and elements described below. Therefore, the following aspects, features, embodiments and advantages are for illustrative purposes only, and should not be regarded as elements or limitations of the claims, unless explicitly stated in the claims.
[0030] It should be noted that in some embodiments of the prese...
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Abstract
A method and a device for removing noise in an image are disclosed in the invention. The method comprises the following steps: the image is decomposed into a high frequency part and a low frequency part, a feature matrix for the high frequency part is determined, each feature vector in the feature matrix represents an image block for each image block in the high frequency part, at least the feature matrix and a coefficient matrix are used for representing the feature matrix, and an optimal solution for the coefficient matrix is determined while a rank of at least the coefficient matrix is minimized; based on the optimal solution for the coefficient matrix, an image block corresponding to noise in the high frequency part is determined and then removed, and the high frequency part with the noise removed and the low frequency art are combined to obtain an image with the noise removed. Technical effects of the method and device disclosed in the invention are that computing resources can be saved, processing time can be reduced, and image quality can be improved.
Description
technical field [0001] Embodiments of the present disclosure relate to information technology, and more particularly to methods and devices for removing noise in images. Background technique [0002] In recent years, with the rapid development of electronic technology and image processing technology, vision systems are widely used in intelligent transportation (such as traffic monitoring, driving assistance systems, etc.), public safety, border defense customs, sports event reporting, event detection, tracking, scene Analysis and classification, object detection and recognition, image indexing and retrieval, and many other fields. However, noise in images greatly affects the performance of vision systems. For example, noise in an image can be objects in severe weather, such as rain, snow, smoke, fog, dust, sand, etc. As an example, a rainy and snowy day is a common weather, and images or videos acquired in rainy and snowy days often have rain lines and / or snow lines, and t...
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