Title :
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
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;
Conference_Titel :
Automation, Control, Energy and Systems (ACES), 2014 First International Conference on
Conference_Location :
Hooghy
Print_ISBN :
978-1-4799-3893-3
DOI :
10.1109/ACES.2014.6808030
