Image splicing method and device, storage medium and electronic device

Abstract

The invention discloses an image splicing method and device, a storage medium and an electronic device. The method comprises the steps of obtaining image parameter information of a to-be-spliced image; determining an image splicing mode; determining whether a coefficient corresponding to the minimum coding unit in the to-be-spliced image needs to be analyzed or not according to the coding table information and the frame start marking information; if analysis needs to be carried out, carrying out entropy decoding on at least part of coefficients of the at least one to-be-spliced image to obtaina coefficient corresponding to the minimum coding unit; determining whether entropy coding needs to be conducted on the coefficient corresponding to the minimum coding unit again or not through the image parameter information; and if entropy coding needs to be carried out again, carrying out entropy coding on the coefficient corresponding to the minimum coding unit again to generate a new coefficient, and carrying out splicing to obtain a composite image. By means of the mode, images of different formats can be spliced, and splicing of images of any width/height is supported.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image splicing method, device, storage medium and electronic device. Background technique [0002] Image processing technology is widely used in various industries, such as: panoramic camera, photo beautification, image cropping and electronic police, etc., involving image transcoding and splicing processes that many users cannot perceive, how to achieve arbitrary splicing and How to perform fast splicing directly affects the user experience, so a real-time system that supports arbitrary splicing of various images is urgently needed; but there are some problems in the current image splicing schemes, for example, some schemes only support splicing between code streams with the same configuration , does not support arbitrary width / height image splicing, and does not distinguish according to the actual image configuration, and cannot well support lossless i...

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Problems solved by technology

[0002] Image processing technology is widely used in various industries, such as: panoramic camera, photo beautification, image cropping and electronic police, etc., involving image transcoding and splicing processes that many users cannot perceive, how to achieve arbitrary splicing and How to perform fast splicing directly affects the user experience, so a real-time system that supports arbitrary splicing of various images is urgently needed; but there are some problems in the current image splicing schemes, for example, some schemes only support splicing between code streams with the same configuration , does not support arbitrary width / height image splicing, and does not distinguish according to the actual image configuration, and cannot well support lossless image splicing; some solutions need to analyze the DC ( Direct Current (DC) coefficient and AC (Alternating Current, AC) coefficient; some schemes are not suitable for multi-stream configuration

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