1 Block Truncation Coding Using Pattern Fitting Source: Pattern Recognition, vol.37, 2004, pp.2131-2139 Authors: Bibhas Chandra Dhara, Bhabatosh Chanda.

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Presentation transcript:

1 Block Truncation Coding Using Pattern Fitting Source: Pattern Recognition, vol.37, 2004, pp Authors: Bibhas Chandra Dhara, Bhabatosh Chanda Speaker: Shu-Fen Chiou( 邱淑芬 ) Date: 2004/09/08

2 Outline Introduction BTC (Block Truncation Coding) Purposed method Experimental results Conclusions Comments

3 Introduction Since 1970s the block truncation coding (BTC) has been studied a lot. High PSNR but low compression ration. A modified scheme of BTC is proposed to achieve high compression ration and keeping PSNR as high as possible.

4 BTC (1/3)

5 BTC (2/3)  4 block Bit pattern

6 BTC (3/3) (a) Original image (b) Reconstructed image with conventional BTC(PSNR=32.89 and bpp=2)

7 Purposed method 將影像分成不重疊的 n n 方塊 Pattern fitting Encoding the block Entropy coding and send 原影像 receive 重建影像方塊組成重建影像編碼端解碼端

8 Pattern fitting (1/4) Set of two-level patterns Pattern book

9 Pattern fitting (2/4)  4 block

 4 block Pattern fitting (3/4)

11 Pattern fitting (4/4) Output image after pattern fitting

12 Encoding the block (1/2) Considering entropy coding for and 8-bits for A

13 Encoding the block (2/2)

14 Reconstruction

15 Experimental results Original imageReconstructed image

16 Experimental results Original imageReconstructed image

17 Experimental results Conventional BTC (PSNR=32.89 and bpp=2) Purposed method (PSNR=31.59 and bpp=0.64)

18 Experimental results Experimental result of proposed method and others

19 Conclusions Instead of determining bit-pattern for a block, an optimum bit-pattern is selected from a pattern-book. Our method is presented to achieve higher compression ration and keeping PSNR as high as possible.

20 Comments 如何決定 w i ? 計算壓縮率時, 是否也應考慮 Pattern book?