Image processing method, terminal and server

Abstract

The embodiment of the invention provides an image processing method, a terminal and a server, relates to the technical field of media standards and media applications, and can solve the problems of low coding efficiency and bandwidth waste during code transmission due to uniform division of images by adopting a latitude and longitude map in image sampling. The method comprises the following steps:transversely and longitudinally dividing a latitude and longitude map or a sphere map of an image to be processed, so as to obtain sub-regions of the latitude and longitude map or the sphere map, wherein division positions of the transverse division are preset latitudes, and division positions of the longitudinal division are determined by the latitudes, and at least two longitudinal division spaces exist in an area composed o the adjacent lateral division positions of the transverse division, and the longitudinal division spaces are distances between adjacent division positions of the longitudinal division; and coding acquired images of the various sub-regions. The image processing method provided by the embodiment of the invention is applied to Tile-wise code transmission of an image.

Description

technical field [0001] The present application relates to the technical fields of media standards and media applications, and in particular to an image processing method, terminal and server. Background technique [0002] In video applications, virtual reality (virtual reality, VR) / 360-degree panoramic video is on the rise, which brings people new viewing methods and visual experiences, and also brings new technical challenges. The 360-degree panoramic video uses multiple cameras to shoot objects from multiple angles, and supports multi-angle playback. Its image signal can be virtualized as a spherical signal, such as figure 1 As shown, spherical image signals at different positions in the spherical surface can represent different perspective contents. However, the virtual spherical image signal cannot be directly seen by human eyes, so it is necessary to represent the three-dimensional spherical image signal as a two-dimensional planar image signal, for example, expressed...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides an image processing method, terminal, and server, which can solve the problems of low encoding efficiency and bandwidth waste during encoding and transmission caused by uniformly dividing images using longitude and latitude diagrams during image sampling

In this way, compared to the prior art method of evenly dividing the longitude-latitude map according to the same division interval, the encoding efficiency caused by the meticulous characteristics of the evenly divided division is low, and the bandwidth occupied by the encoded transmission is large. This application The method of vertically dividing between different latitudes according to at least two vertical division intervals avoids the fine features of uniform division in the prior art. The larger the division interval, the larger the sub-area, the encoding efficiency is improved, and the bandwidth occupied by the server to transmit the code stream to the terminal is reduced after encoding.

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