Abstract: An image scaling method based on a linear extension/contraction mode, includes step I: compressing an original image matrix composed of image pixels in a row by row manner with a Linearlization or OptimalPLR compression method to obtain a line segment segmentation form; step II: lengthening the line segments under Policy I or shortening the line segments under Policy II by resampling at a upscaling or downscaling factor, to obtain an upscaled or downscaled image in the row direction; and step III: upscaling the data upscaled in the row direction in the step II in a column by column manner through the process in the step II, to obtain an image upscaled in the column direction. The method which is an image scaling technique directly based on PLA for data compression, not only can compress static image data, but also can compress image data of dynamic data streams.

Abstract: An image scaling method based on a linear extension/contraction mode, includes step I: compressing an original image matrix composed of image pixels in a row by row manner with a Linearlization or OptimalPLR compression method to obtain a line segment segmentation form; step II: lengthening the line segments under Policy I or shortening the line segments under Policy II by resampling at a upscaling or downscaling factor, to obtain an upscaled or downscaled image in the row direction; and step III: upscaling the data upscaled in the row direction in the step II in a column by column manner through the process in the step II, to obtain an image upscaled in the column direction. The method which is an image scaling technique directly based on PLA for data compression, not only can compress static image data, but also can compress image data of dynamic data streams.