Currently

downsampling filtration is the main method of generating a spatial image pyramid data

but any objective indicator has not occurred to evaluate the effect of a downsampling filter because calculating the filter's downsampling PSNR requires at least two layers of original data of a spatial pyramid. This study establishes the research technology roadmap of solving this problem:based on two-layer original signals of video image data

an excellent performance downsampling filter was discovered and identified and the subjective visual effect of its generation of the remote-sensing pyramid was verified. Finally

we proposed a downsampling method of filtering along the image texture direction to generate a high-quality spatial pyramid image. Downsampling and upsampling were presented to have been combined to form a pair of resampling filters

as RSFP served as an approximation of the current layer data of pyramids

which can be used to evaluate the downsampling filtering effect. Based on RSFP

a novel pyramid-generating approach TDFA was established:For each 8×8 block

TDFA searches to determine the one-texture orientation of the image from five directions

i.e.

DC

horizontal

135°

vertical

and 45°

and filters along the texture direction implementation of downsampling with a three-order filter

with its effect better than the currently best nearest neighbor interpolation

and the pseudo color

zipper

mosaic

or block effect does not exist. Experimentation and comparisonof effect using a large quantity of image data with several typical downsampling filters

the increasing range of average PSNR by TDFA

was approximately 7.29 dB to 8.44 dB for the Lagrange filter; approximately 6.26 dB to 7.40 dB for the bicubic filter; approximately 5.80 dB to 6.84 dB for AVS's 1/4 interpolation filter; and approximately 4.51 dB to 5.70 dB for the nearest neighbor interpolation method. This study proposed a type of texture-filtering algorithm TDFA. This algorithm can be used to generate the remote sensing pyramid

with its quality better than the level of the existing best generation method

and can also be used to generate a high-quality multilayer video-streaming media data. The proposed resampling filtering pair RSFP can output the high-precision prediction of the current layer of the pyramid used for a scalable video-encoding process.