Block-based wavelet transform coding of mammograms with region-adaptive quantization

Nam Su Moon; Jun Seok Song; Musik Kwon; JongHyo Kim; ChoongWoong Lee

doi:10.1117/12.312533

26 June 1998 Block-based wavelet transform coding of mammograms with region-adaptive quantization

Nam Su Moon, Jun Seok Song, Musik Kwon, JongHyo Kim, ChoongWoong Lee

Proceedings Volume 3335, Medical Imaging 1998: Image Display; (1998) https://doi.org/10.1117/12.312533
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

To achieve both high compression ratio and information preserving, it is an efficient way to combine segmentation and lossy compression scheme. Microcalcification in mammogram is one of the most significant sign of early stage of breast cancer. Therefore in coding, detection and segmentation of microcalcification enable us to preserve it well by allocating more bits to it than to other regions. Segmentation of microcalcification is performed both in spatial domain and in wavelet transform domain. Peak error controllable quantization step, which is off-line designed, is suitable for medical image compression. For region-adaptive quantization, block- based wavelet transform coding is adopted and different peak- error-constrained quantizers are applied to blocks according to the segmentation result. In view of preservation of microcalcification, the proposed coding scheme shows better performance than JPEG.

Citation Download Citation

Nam Su Moon, Jun Seok Song, Musik Kwon, JongHyo Kim, and ChoongWoong Lee "Block-based wavelet transform coding of mammograms with region-adaptive quantization", Proc. SPIE 3335, Medical Imaging 1998: Image Display, (26 June 1998); https://doi.org/10.1117/12.312533

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