document: Block truncation image bit plane coding Block truncation coding -LRB- BTC -RRB- is a successful image compression technique due to its simple and fast computational burden . The bit rate is fixed to 2.0 bits/pixel , whose performance is moderate in terms of compression ratio compared to other compression schemes such as discrete cosine transform -LRB- DCT -RRB- , vector quantization -LRB- VQ -RRB- , wavelet transform coding -LRB- WTC -RRB- , etc. . Two kinds of overheads are required for BTC coding : bit plane and quantization values , respectively . A new technique is presented to reduce the bit plane overhead . Conventional bit plane overhead is 1.0 bits/pixel ; we decrease it to 0.734 bits/pixel while maintaining the same decoded quality as absolute moment BTC -LRB- AMBTC -RRB- does for the `` Lena '' image . Compared to other published bit plane coding strategies , the proposed method outperforms all of the existing methods
doc_bio_tags: O O B I I I B I I O O O O O O B I I O O O O O O O O O O B I O O O O O O O B O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O B I I O O B I I O O O O O O O O O O O O O O B I O B I I O B O O O O O O O O O O O O O O O O O O O O O O O O O O O