Pyramid-based error-bounded encoder: An evaluation on X-ray chest images

被引:22
作者
Aiazzi, B [1 ]
Alparone, L [1 ]
Baronti, S [1 ]
Chiro, G [1 ]
Lotti, F [1 ]
Moroni, M [1 ]
机构
[1] CNR,NATL RES COUNCIL,NELLO CARRARA RES INST ELECTROMAGNET WAVES,I-50127 FLORENCE,ITALY
关键词
near-lossless image compression; multi-resolution coding; Laplacian pyramid; quantization noise feedback; X-ray images; ROC analysis;
D O I
10.1016/S0165-1684(97)00045-5
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A novel encoder based on an enhanced Laplacian pyramid is proposed for compression of Medical grey-scale images: major details are prioritized through an adaptive decision rule embedded in a uniform threshold quantizer with noise feedback. The major benefit of this content-driven feedback quantizer is that significant features are straightforwardly propagated throughout the pyramid, thus enhancing compactness and visual quality of the reduced-resolution versions progressively associated with the code stream. Nevertheless, the reconstruction error is determined only by the size of the quantization step at the base level of the pyramid, thereby making it possible for the maximum absolute reconstruction error to be easily and strongly upper-bounded (near-lossless compression), as often required in archiving medical images, for diagnostic and legal purposes. Both lossless and lossy coding show favorable comparisons with JPEG in objective terms, i.e., compression ratios and distortion plots. Lossy coding outperforms JPEG also subjectively, due to the absence of visual impairments and diagnostic artifacts even at very low rates. This feature is also evidenced in a preliminary ROC analysis on a set of X-ray chest images. The pyramid encoder produces compressed images whose diagnostic quality seems to be comparable, for medium rates, to that of the uncompressed versions, and superior to that of the JPEG coded versions. (C) 1997 Elsevier Science B.V.
引用
收藏
页码:173 / 187
页数:15
相关论文
共 39 条
[1]  
AIAXXI B, 1997, IEEE T IMAGE PROCESS, V6
[2]   A reduced Laplacian pyramid for lossless and progressive image communication [J].
Aiazzi, B ;
Alparone, L ;
Baronti, S .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1996, 44 (01) :18-22
[3]  
AIAZZI B, P EUSIPCO 96, P316
[4]  
AIAZZI B, 1996, P 1996 IEEE DSP WORK, P1
[5]  
AIAZZI B, 1996, IMAGE TECHNOLOGY ADV, P595
[6]  
[Anonymous], 1993, JPEG still image compression standard
[7]   COMPARISON OF INTERNATIONAL STANDARDS FOR LOSSLESS STILL IMAGE COMPRESSION [J].
ARPS, RB ;
TRUONG, TK .
PROCEEDINGS OF THE IEEE, 1994, 82 (06) :889-899
[8]   CONTENT-DRIVEN DIFFERENTIAL ENCODING OF AN ENHANCED IMAGE PYRAMID [J].
BARONTI, S ;
CASINI, A ;
LOTTI, F ;
ALPARONE, L .
SIGNAL PROCESSING-IMAGE COMMUNICATION, 1994, 6 (05) :463-469
[9]  
BLUME H, 1988, SPIE, V1091, P2
[10]   THE LAPLACIAN PYRAMID AS A COMPACT IMAGE CODE [J].
BURT, PJ ;
ADELSON, EH .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1983, 31 (04) :532-540