Adaptive enhancement of compressed SAR images. Issue 7 (October 2016)

• Record Type: Journal Article
• Authors: Upadhyay, Aakash; Mahapatra, Sudipta
• Is Part Of: Signal, image and video processing. Volume 10:Issue 7(2016)
• Page Start: 1335
• Page End: 1342
• Publication Date: 2016-10
• Subjects: SAR -- SAR image compression -- JPEG -- JPEG artefacts -- Wavelet decomposition -- Image sharpness metric; Signal processing -- Digital techniques -- Periodicals; Image processing -- Digital techniques -- Periodicals; Digital video -- Periodicals; 621.3822
• DOI: 10.1007/s11760-016-0929-y
• Languages: English
• ISSNs: 1863-1703

Abstract

Abstract Synthetic aperture radar (SAR) imagery is an important global all-weather surveillance and mapping satellite imagery system. As space-borne systems have a limited storage capacity, it is imperative to heavily compress SAR images, possible with lossy compression schemes. As a result, SAR images need to be enhanced in earth stations. The work reported in this paper aims to address the issue of compression artefact removal of SAR images in an adaptive manner. The SAR images, compressed using the JPEG utility at significantly low bit rates, are enhanced by adaptively removing coding artefacts and speckle noise. As edges carry significant information in satellite imagery, a significant edge image is used for edge enhancement with selective removal of noisy edges. Further, an image sharpness metric is proposed in this work to serve as an objective no-reference metric for measuring the sharpness of SAR images.