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GPU based Accelerated JPEG Decoder


Author(s):

Rushikesh Tade , D.Y.P.S.O.E. Pune; Saniya Ansari, D.Y.P.S.O.E. Pune

Keywords:

CUDA, HUFFMAN Decoding JPEG, RLE

Abstract:

In this work authors have implemented efficient JPEG (Joint Photographic experts group) Decoder on nVidia GPU (Graphic Processing Unit) using CUDA Technology. This decoder is capable of decoding images of Ultra HD resolution with superfast speed GPU is used to assist the CPU for time consuming tasks. In this paper IDCT module which consumes 70 to 80 percent of computation time is implemented on GPU. An asynchronous parallel execution between the CPU and the GPU is used at a same time to improve the JPEG decoder acceleration rate. In the experiment, the JPEG decoder based on the CUDA performs decompression of 2560 x 1600 pixels and below images. Finally the results are shown with respect to different sized images and consumed time for decoding. The results show that this decoder faster in multiple times than the decoder in CPU.


Other Details:

Manuscript Id :IJSTEV1I11123
Published in :Volume : 1, Issue : 11
Publication Date: 01/06/2015
Page(s): 495-498
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