WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10001613,
	  title     = {Discrete and Stationary Adaptive Sub-Band Threshold Method for Improving Image Resolution},
	  author    = {P. Joyce Beryl Princess and  Y. Harold Robinson},
	  country	= {},
	  institution	= {},
	  abstract     = {Image Processing is a structure of Signal Processing
for which the input is the image and the output is also an image or
parameter of the image. Image Resolution has been frequently
referred as an important aspect of an image. In Image Resolution
Enhancement, images are being processed in order to obtain more
enhanced resolution. To generate highly resoluted image for a low
resoluted input image with high PSNR value. Stationary Wavelet
Transform is used for Edge Detection and minimize the loss occurs
during Downsampling. Inverse Discrete Wavelet Transform is to get
highly resoluted image. Highly resoluted output is generated from the
Low resolution input with high quality. Noisy input will generate
output with low PSNR value. So Noisy resolution enhancement
technique has been used for adaptive sub-band thresholding is used.
Downsampling in each of the DWT subbands causes information loss
in the respective subbands. SWT is employed to minimize this loss.
Inverse Discrete wavelet transform (IDWT) is to convert the object
which is downsampled using DWT into a highly resoluted object.
Used Image denoising and resolution enhancement techniques will
generate image with high PSNR value. Our Proposed method will
improve Image Resolution and reached the optimized threshold.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {4},
	  year      = {2015},
	  pages     = {1003 - 1006},
	  ee        = {https://publications.waset.org/pdf/10001613},
	  url   	= {https://publications.waset.org/vol/100},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 100, 2015},
	}