Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article JPEG2000 Compatible Lossless Coding of Floating-Point Data | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 85385 8 pages doi 10.1155 2007 85385 Research Article JPEG2000 Compatible Lossless Coding of Floating-Point Data Bryan E. Usevitch Department of Electrical and Computer Engineering University of Texas at El Paso El Paso TX 79968-0523 USA Received 14 August 2006 Revised 13 December 2006 Accepted 22 December 2006 Recommended by James E. Fowler Many scientific applications require that image data be stored in floating-point format due to the large dynamic range of the data. These applications pose a problem if the data needs to be compressed since modern image compression standards such as JPEG2000 are only defined to operate on fixed-point or integer data. This paper proposes straightforward extensions to the JPEG2000 image compression standard which allow for the efficient coding of floating-point data. These extensions maintain desirable properties of JPEG2000 such as lossless and rate distortion optimal lossy decompression from the same coded bit stream scalable embedded bit streams error resilience and implementation on low-memory hardware. Although the proposed methods can be used for both lossy and lossless compression the discussion in this paper focuses on and the test results are limited to the lossless case. Test results on real image data show that the proposed lossless methods have raw compression performance that is competitive with and sometime exceeds current state-of-the-art methods. Copyright 2007 Bryan E. Usevitch. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION Floating-point image compression has not received a lot of attention by the compression community. This is evidenced by the fact that modern image compression texts see 1-3 have no direct discussion of floating-point
