An Ingenious Application-Specific Quality Assessment Methods for Compressed Wireless Capsule Endoscopy Images

Abstract

<pre>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 (<span>WCE</span>) applications. The existing image compression algorithms for <span>WCE</span> employ the general-purpose image quality assessment (<span>IQA</span>) methods to evaluate the quality of the compressed image. Due to the specific nature of the images captured by <span>WCE</span>, the general-purpose <span>IQA</span> methods are not optimal and give less correlated results to that of subjective <span>IQA</span> (visual perception). This paper presents improved image quality assessment techniques for wireless capsule endoscopy application. The proposed objective <span>IQA</span> 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 <span>IQA</span> metrics. The experimental results demonstrate that the proposed <span>IQA</span> method gives an improvement of 2.12 dB peak signal-to-noise ratio (<span>PSNR</span>) and improved structural similarity index (<span>SSIM</span>). The proposed method gives more reliable objective image quality measures for compressed endoscopic capsule images.</pre>