Static image processing method and device
A static image and image data technology, applied in the field of communication, can solve the problems of low processing efficiency and low compression rate
Active Publication Date: 2019-12-13
RUIJIE NETWORKS CO LTD
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Problems solved by technology
[0004] The JPEG2000 compression algorithm needs to increase the image complexity on the basis of JPEG, which can increase the compression rate by about 10% to 30%. Due to the increased image complexity, the processing efficiency is low
[0005] The WEBP compression algorithm also increases the compression rate by increasing the image complexity on the basis of JPEG, which can increase the compression rate by about 30%, and the processing efficiency is low
[0006] To sum up, in the process of screen image processing, the processing efficiency of JPEG2000 compression algorithm and WEBP compression algorithm is low, and the JPEG compression algorithm has high processing efficiency, but the compression rate is low
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[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all of them. Based on the embodiments of the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present application.
[0043] Desktop virtualization technology refers to the technology that supports enterprise-level remote dynamic access to desktop systems and unified hosting in data centers. The static image processing method provided by the embodiment of the present invention can be applied in a server.
[0044] figure 1 It is a schematic flowchart of a static image processing method provided by an embodiment of the present invention. Such asfigure 1 As shown, the ...
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The invention discloses a static image processing method and device. The method comprises the following steps of: performing region division on a static image acquired in real time according to a preset region division rule to obtain at least one image region which is not overlapped with other image region; acquiring image data of each image area in the at least one image area; adopting a discretecosine transform function to transform the data of each type of data matrix in the image data to obtain each type of frequency coefficient matrix corresponding to each type of data matrix and a target frequency coefficient corresponding to each type of frequency coefficient matrix; and searching a mapping relationship between the stored frequency coefficients and the quality factors, obtaining atarget quality factor corresponding to the target frequency coefficient so as to obtain a quantization matrix of each type, and obtaining encoded image data corresponding to the static image accordingto a preset encoding algorithm and the quantization matrix of each type. According to the method, the compression ratio and the image processing efficiency of a static image lossy compression algorithm are improved.
Description
technical field [0001] The present application relates to the field of communication technologies, and in particular to a method and device for processing still images. Background technique [0002] In recent years, as the desktop virtualization infrastructure (Virtual Desktop 1 infrastructure, VDI) solution becomes more and more popular, the solution has been deployed in a wide area network environment one after another, that is, the desktop virtualization technology is deployed on the wide area network. Due to the low bandwidth of the WAN, it is necessary to compress the images transmitted by the desktop virtualization technology. Among them, the screen images of the virtual desktops based on the desktop virtualization technology are generally static images, and the static images usually use lossy compression. Lossy compression Including joint photographic experts group (Joint Photographic Experts Group, JPEG), JPEG2000, WEBP and other compression algorithms. [0003] The...
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IPC IPC(8): H04N19/124H04N19/174H04N19/186H04N19/42H04N19/60H04N19/625
CPCH04N19/124H04N19/174H04N19/186H04N19/42H04N19/60H04N19/625
Inventor 陈小芬张恩才何耀林旭游乔贝
Owner RUIJIE NETWORKS CO LTD