Interactively Reconstructing Low Resolution Capsule Endoscopic Images
Shashank Kumar Singh, Tarun Gulati, Maninder Pal · International Journal of Engineering Trends and Technology · 2014
This paper focuses on enhancement of low resolution images taken by the camera of wireless capsule endoscopy. The resolution of this camera is usually 256 by 256 pixels, which is usually low and therefore needs enhancement. Image processing for such low resolution digital images is very challenging. It is because of the errors due to quantization and sampling. Over the last several years, significant improvements have been made in this area; however, it is still very challenging. Therefore, this paper focuses on investigating the effect of interpolation functions on increasing the resolution of endoscopic images. A DWT based algorithm with error feedback is proposed and evaluated. The proposed resolution enhancement technique uses DWT to decompose the input image into different subbands. Then, the high-frequency subband images and the input low-resolution image have been interpolated, followed by combining all these images to generate a new resolution-enhanced image by using inverse DWT. The proposed technique has been tested on endoscopic images. The calculate values of PSNR, MSE and maximum error, and visual results show the superiority of the proposed technique over the traditional image super-resolution techniques.