Wavelet based multilevel un-sharp masking using OpenCL

Author

Bhagat, Jai Prakash ; Ashish, Kumar ; Kar, Soummya ; Gara, Suresh Kumar

Author_Institution

Samsung R&D Inst. India, Bangalore, India

fYear

2014

fDate

1-2 Feb. 2014

Firstpage

1

Lastpage

5

Abstract

A wavelet based multi-level adaptive unsharp masking technique for image sharpening is proposed. It does sharpening at multiple levels of DWT with a small and fixed size Gaussian kernel and automatically adjusts for different amount of blurring in different direction. The proposed method is free from kernel estimation. The algorithm is designed to process in a heterogeneous environment consisting of CPU and GPU using OpenCL for fast processing. Significant performance enhancement has been achieved as compared to the CPU implementation and can be implemented in mobile devices for near real-time performance.

Keywords

Gaussian processes; discrete wavelet transforms; image restoration; CPU; DWT; GPU; Gaussian kernel; OpenCL; heterogeneous environment; image deblurring; image sharpening; kernel estimation; mobile devices; near real-time performance; performance enhancement; wavelet based multilevel adaptive unsharp masking technique; wavelet based multilevel unsharp masking; Central Processing Unit; Convolution; Discrete wavelet transforms; Graphics processing units; Image edge detection; Kernel; Performance evaluation; DWT; Image De-blurring; Image Sharpening; Unsharp Masking;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation, Control, Energy and Systems (ACES), 2014 First International Conference on

Conference_Location

Hooghy

Print_ISBN

978-1-4799-3893-3

Type

conf

DOI

10.1109/ACES.2014.6808030

Filename

6808030