A fast scaling method for GPU-based 2D seismic images

Abstract

The invention discloses a GPU-based fast scaling method for two-dimensional seismic images. By introducing a GPU-accelerated bicubic interpolation algorithm into the application of seismic color image scaling, the scaling and interaction effects are improved; CUDA and openGL are interoperable The technology is introduced into the color map scaling algorithm to speed up the display of the zoomed color map; the data block technology is applied to the seismic profile color map display, which can solve the display and scaling problems of massive seismic profile data; it has the optimal bi-cubic interpolation The effect is no mosaic, and the edge transition is gentle; it ensures that massive data can be scaled in real time, and the scaling speed is fast; the memory limit of the algorithm of the present invention is much smaller than that of ordinary bicubic interpolation, and is suitable for processing large amounts of data seismic profile images.

Description

technical field [0001] The invention relates to a GPU-based fast scaling method for two-dimensional seismic images. Background technique [0002] Image information is the main medium for human beings to transmit visual information. Images give people an intuitive and specific image of objects, which is incomparable to sound, language and text. In geological exploration, a large number of two-dimensional images such as two-dimensional seismic profile information obtained through geological interpretation software provide a lot of convenience for exploration work, and the accuracy of two-dimensional seismic image information determines the effect of geological interpretation software . [0003] In the field of geological exploration, because the number of 2D seismic sections processed is often on the order of tens of thousands, the amount of data is very large and massive, and the image operation interaction is real-time, and large-scale data graphics and images are drawn in ...

AI Technical Summary

Problems solved by technology

[0027] The above various image scaling algorithms have the following defects: first, they are only aimed at the scaling of ordinary size images, and have not been applied to the specific field of 2D seismic image scaling

Second, most of them realize bicubic interpolation by directly proposing a cubic spline function, but it is not a complete bicubic interpolation

Third, after the image data is scaled and processed, no improvement is made to the display process to speed up the display

Although the zoom speed is fast, the enlarged image is blurred, the image is not beautiful, and the zoom effect is not good

[0030] Although the only geological interpretation software such as SMT can achieve the effect of bicubic interpolation by zooming, the zooming speed is slow. When the seismic section data exceeds the memory capacity and reaches massive data, most software cannot display or real-time display, real-time zooming completely impossible

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