Comparison of different algorithms to improve the quality of image (Record no. 20204)
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| fixed length control field | a |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20231130103439.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231130b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 22236 |
| Author | Sonavane, Mayur M. |
| 245 ## - TITLE STATEMENT | |
| Title | Comparison of different algorithms to improve the quality of image |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.13(4), Jul-Aug |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Haryana |
| Name of publisher, distributor, etc. | IOSR - International Organization of Scientific Research |
| Year | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 7-13p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Super-resolution (SR) become the most important task in image processing because of requirement of<br/>high quality of images. It becomes popular in technology like computer vision and pattern recognition. In Single<br/>Image Super-resolution (SR) uses the sequences of single low resolution (LR) images from high resolution (HR)<br/>to improve the quality of image. The SR is an image processing problem which aims to generate a high<br/>resolution (HR) image from low resolution input image. The SR is difficult because of the missing information in<br/>the given LR image. Thus in SR it is very important to boost the reconstruction performance so that, there is<br/>need of effective prior knowledge. The prior knowledge of image will solve the problem to improve the quality of<br/>generated image. The main aim of SR is to generate the HR image with good visual perception as similar as<br/>original image. The paper compare two methods of SR that is bi-linear method, and direction group sparsity of<br/>image method that is proposed one. These methods will evaluate the accuracy, subjective visual effect, quality of<br/>image, time complexity and PSNR, etc. These calculations will enhance nature of picture like better visual<br/>impact quality, lower reconstruction error and adequate calculation proficiency, and so on. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4619 |
| Topical term or geographic name entry element | EXTC Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 7286 |
| Co-Author | Agrawal, S. S. |
| 773 0# - HOST ITEM ENTRY | |
| Place, publisher, and date of publication | Gurgaon International Organization Of Scientific Research (IOSR) |
| Title | IOSR journal of VLSI and signal processing (IOSR-JVSP) |
| International Standard Serial Number | 2319 – 4197 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://www.iosrjournals.org/iosr-jvlsi/papers/vol13-issue4/B13040713.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 30/11/2023 | 2023-1622 | 30/11/2023 | 30/11/2023 | Articles Abstract Database |