Characterization and Correction of Line-wise Stripes for Remote Sensing Imagery Using Wavelet Filtering Method

摘要

The primary objective of this paper is to implement a wavelet filtering method [Shresha. 2010] to remove the line-wise stripes of remote sensing imagery. This work concentrates on dealing with such kind of stripe removal and image detail preservation for remote sensing image. The wavelet filtering method invokes three different approaches. Low Frequency Sub-band (LFSB). High Frequency Sub-band (HFSB). and All Frequency Sub-band (AFSB) are used to decompose the image with different level of sub-banding. Then, we apply an identical filter on various component imagery to remove isolated stripes. Finally, we reconstruct the image using an inverse wavelet transform. The corrected image is evaluated qualitatively and quantitatively by Modulation Transfer Function (MTF) estimation. The result recommends that AFSB/Coiflets approach with one-level sub-banding is sufficient in removing the stripes and retaining most of the information of image at the same time.