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Title: :  HIGH - QUALITY IMAGE RESTORATION USING LOW - RANK PATCH REGULARIZATION AND GLOBAL STRUCTURE SPARSITY
PaperId: :  14047
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 2 2021
DUI:    16.0415/IJARIIE-14047
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
S. Izas AhamedK.S.RANGASAMY COLLEGE OF TECHNOLOGY
R. PoornimaK.S.RANGASAMY COLLEGE OF TECHNOLOGY

Abstract

Image Processing
Image compression and restoration, Fuzzy based DCT
Today there has been big improvement in digital technology that has led to the development of various usable devices and methods especially in the fields of communications and data transfer to a longer distance. The transmission of data in the form of documents, images and so on is now reachable to all parts of the society and the services are affordable to most of the people. An important aspect is data Compression & restoration and for that matter Image Compression & restoration, as images form a larger part of data being exchanged over the internet through social networking and information sharing apps all over the world. Among different kinds of data, images and videos constitute the bulkiest data. Thus, need for compressing the image files is an important aspect in data communication. The image Compression & restoration is the technique which is applied to compress the pixels of the image to reduce size without compromising image quality. The work contains improvement in vector based Fuzzy DCT algorithm Compression & restoration technique to increase Compression & restoration ratio. In this research work we present a technique for image Compression & restoration, using Fuzzy Discrete Cosine Transform and Fuzzy Logic Techniques. The algorithm used in this project is tested along with several images and the results are compared with other techniques. Our method shows an improved performance both in Compression & restoration ratio as well as image perceptibility. The performance of proposed will be implemented in java. The results shows better PSNR and Compression & restoration ratio as compare to discrete cosine transformation.

Citations

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IJARIIE S. Izas Ahamed, and R. Poornima. "HIGH - QUALITY IMAGE RESTORATION USING LOW - RANK PATCH REGULARIZATION AND GLOBAL STRUCTURE SPARSITY" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 2 2021 Page 1350-1355
MLA S. Izas Ahamed, and R. Poornima. "HIGH - QUALITY IMAGE RESTORATION USING LOW - RANK PATCH REGULARIZATION AND GLOBAL STRUCTURE SPARSITY." International Journal Of Advance Research And Innovative Ideas In Education 7.2(2021) : 1350-1355.
APA S. Izas Ahamed, & R. Poornima. (2021). HIGH - QUALITY IMAGE RESTORATION USING LOW - RANK PATCH REGULARIZATION AND GLOBAL STRUCTURE SPARSITY. International Journal Of Advance Research And Innovative Ideas In Education, 7(2), 1350-1355.
Chicago S. Izas Ahamed, and R. Poornima. "HIGH - QUALITY IMAGE RESTORATION USING LOW - RANK PATCH REGULARIZATION AND GLOBAL STRUCTURE SPARSITY." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 2 (2021) : 1350-1355.
Oxford S. Izas Ahamed, and R. Poornima. 'HIGH - QUALITY IMAGE RESTORATION USING LOW - RANK PATCH REGULARIZATION AND GLOBAL STRUCTURE SPARSITY', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, 2021, p. 1350-1355. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/HIGH___QUALITY_IMAGE_RESTORATION_USING_LOW___RANK_PATCH_REGULARIZATION_AND_GLOBAL_STRUCTURE_SPARSITY_ijariie14047.pdf (Accessed : ).
Harvard S. Izas Ahamed, and R. Poornima. (2021) 'HIGH - QUALITY IMAGE RESTORATION USING LOW - RANK PATCH REGULARIZATION AND GLOBAL STRUCTURE SPARSITY', International Journal Of Advance Research And Innovative Ideas In Education, 7(2), pp. 1350-1355IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/HIGH___QUALITY_IMAGE_RESTORATION_USING_LOW___RANK_PATCH_REGULARIZATION_AND_GLOBAL_STRUCTURE_SPARSITY_ijariie14047.pdf (Accessed : )
IEEE S. Izas Ahamed, and R. Poornima, "HIGH - QUALITY IMAGE RESTORATION USING LOW - RANK PATCH REGULARIZATION AND GLOBAL STRUCTURE SPARSITY," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, pp. 1350-1355, Mar-App 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/HIGH___QUALITY_IMAGE_RESTORATION_USING_LOW___RANK_PATCH_REGULARIZATION_AND_GLOBAL_STRUCTURE_SPARSITY_ijariie14047.pdf [Accessed : ].
Turabian S. Izas Ahamed, and R. Poornima. "HIGH - QUALITY IMAGE RESTORATION USING LOW - RANK PATCH REGULARIZATION AND GLOBAL STRUCTURE SPARSITY." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 2 ().
Vancouver S. Izas Ahamed, and R. Poornima. HIGH - QUALITY IMAGE RESTORATION USING LOW - RANK PATCH REGULARIZATION AND GLOBAL STRUCTURE SPARSITY. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(2) : 1350-1355. Available from: https://ijariie.com/AdminUploadPdf/HIGH___QUALITY_IMAGE_RESTORATION_USING_LOW___RANK_PATCH_REGULARIZATION_AND_GLOBAL_STRUCTURE_SPARSITY_ijariie14047.pdf
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