2D Orthogonal Locality Preserving Projection for Image Denoising


Sparse representations using remodel-domain techniques are widely used for higher interpretation of the raw data. Orthogonal locality preserving projection (OLPP) is a linear technique that tries to preserve native structure of data in the transform domain likewise. Vectorized nature of OLPP requires high-dimensional data to be converted to vector format, hence could lose spatial neighborhood information of raw knowledge. On the other hand, processing 2D data directly, not only preserves spatial data, but also improves the computational efficiency significantly. The 2D OLPP is expected to learn the transformation from 2D knowledge itself. This paper derives mathematical foundation for 2D OLPP. The proposed technique is employed for image denoising task. Recent state-of-the-art approaches for image denoising work on 2 major hypotheses, i.e., non-local self-similarity and sparse linear approximations of the info. Locality preserving nature of the proposed approach automatically takes care of self-similarity gift in the image while inferring sparse basis. A international basis is adequate for the complete image. The proposed approach outperforms many state-of-the-art image denoising approaches for grey-scale, color, and texture pictures.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Reducing the Cost of Triple Adjacent Error Correction in Double Error Correction Orthogonal Latin Square Codes - 2016 ABSTRACT: As multiple cell upsets (MCUs) become more frequent on SRAM memory devices, there
PROJECT TITLE: A Class of SEC-DED-DAEC Codes Derived From Orthogonal Latin Square Codes - 2015 ABSTRACT: Radiation-induced soft errors are a significant reliability concern for memories. To ensure that memory contents are not
PROJECT TITLE: A Method to Extend Orthogonal Latin Square Codes - 2014 ABSTRACT: Error correction codes (ECCs) are commonly used to safeguard recollections from errors. As multibit errors become more frequent, single error correction
PROJECT TITLE :A Method to Extend Orthogonal Latin Square Codes (2014)ABSTRACT :Error correction codes (ECCs) are commonly used to protect memories from errors. As multibit errors become more frequent, single error correction
PROJECT TITLE :Orthogonal frequency division multiplexing phenomenology: recognition of canonical scatterers using flat spectra OFDM pulsesABSTRACT:In this study, the authors gift a completely unique approach to characterise scattering

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry