Abstract:
Image quality assessment methods are used in
different image processing applications. Among them, image
compression and image super-resolution can be mentioned in
wireless capsule endoscopy (WCE) applications. The existing
image compression algorithms for WCE employ the general purpose image quality assessment (IQA) methods to evaluate the
quality of the compressed image. Due to the specific nature of the
images captured by WCE, the general-purpose IQA methods are
not optimal and give less correlated results to that of subjective
IQA (visual perception). This paper presents improved image
quality assessment techniques for wireless capsule endoscopy
applications. The proposed objective IQA methods are obtained
by modifying the existing full-reference image quality assessment
techniques. The modification is done by excluding the non informative regions, in endoscopic images, in the computation
of IQA metrics. The experimental results demonstrate that
the proposed IQA method gives an improved peak signal-to noise ratio (PSNR) and structural similarity index (SSIM). The
proposed image quality assessment methods are more reliable for
compressed endoscopic capsule images
