  Wireless Capsule Endoscopy (WCE) presented in 2001 as one of the key
approaches to observe the entire gastrointestinal (GI) tract, generally the
small bowels. It has been used to detect diseases in the gastrointestinal
tract. Endoscopic image analysis is still a required field with many open
problems. The quality of many images it produced is rather unacceptable due to
the nature of this imaging system, which causes some issues to prognosticate by
physicians and computer-aided diagnosis. In this paper, a novel technique is
proposed to improve the quality of images captured by the WCE. More
specifically, it enhanced the brightness, contrast, and preserve the color
information while reducing its computational complexity. Furthermore, the
experimental results of PSNR and SSIM confirm that the error rate in this
method is near to the ground and negligible. Moreover, the proposed method
improves intensity restricted average local entropy (IRMLE) by 22%, color
enhancement factor (CEF) by 10%, and can keep the lightness of image
effectively. The performances of our method have better visual quality and
objective assessments in compare to the state-of-art methods.
