000			a
999			_c20204 _d20204
003			OSt
005			20231130103439.0
008			231130b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_922236 _aSonavane, Mayur M.
245			_aComparison of different algorithms to improve the quality of image
250			_aVol.13(4), Jul-Aug
260			_aHaryana _bIOSR - International Organization of Scientific Research _c2023
300			_a7-13p.
520			_aSuper-resolution (SR) become the most important task in image processing because of requirement of high quality of images. It becomes popular in technology like computer vision and pattern recognition. In Single Image Super-resolution (SR) uses the sequences of single low resolution (LR) images from high resolution (HR) to improve the quality of image. The SR is an image processing problem which aims to generate a high resolution (HR) image from low resolution input image. The SR is difficult because of the missing information in the given LR image. Thus in SR it is very important to boost the reconstruction performance so that, there is need of effective prior knowledge. The prior knowledge of image will solve the problem to improve the quality of generated image. The main aim of SR is to generate the HR image with good visual perception as similar as original image. The paper compare two methods of SR that is bi-linear method, and direction group sparsity of image method that is proposed one. These methods will evaluate the accuracy, subjective visual effect, quality of image, time complexity and PSNR, etc. These calculations will enhance nature of picture like better visual impact quality, lower reconstruction error and adequate calculation proficiency, and so on.
650		0	_94619 _aEXTC Engineering
700			_97286 _a Agrawal, S. S.
773	0		_dGurgaon International Organization Of Scientific Research (IOSR) _tIOSR journal of VLSI and signal processing (IOSR-JVSP) _x2319 – 4197
856			_uhttps://www.iosrjournals.org/iosr-jvlsi/papers/vol13-issue4/B13040713.pdf _yClick here
942			_2ddc _cAR