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The impact of image information on compressibility and degradation in medical image compression
Medical Physics, 2006The aim of the study was to demonstrate and critically discuss the influence of image information on compressibility and image degradation. The influence of image information on image compression was demonstrated on the axial computed tomography images of a head. The standard Joint Photographic Expert Group (JPEG) and JPEG 2000 compression methods were
Boštjan Likar +2 more
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Image Compression (JPEG) [PDF]
, 1997 JPEG is an excellent compression technique which produces lossy compression (although in one mode it is lossless). As seen from the previous chapter, it has excellent compression ratio when applied to a color image. This chapter introduces the JPEG standard and the method used to compress an image. It also discusses the JFIF file standard which defines
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Compressive Sensing in Acoustic Imaging
2015Acoustic sensing is at the heart of many applications, ranging from underwater sonar and nondestructive testing to the analysis of noise and their sources, medical imaging, and musical recording. This chapter discusses a palette of acoustic imaging scenarios where sparse regularization can be leveraged to design compressive acoustic imaging techniques.
Bertin, Nancy +3 more
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Compressive imaging of color images [PDF]
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009 In this paper, we propose a novel compressive imaging framework for color images. We first introduce an imaging architecture based on combining the existing single-pixel Compressive Sensing (CS) camera with a Bayer color filter, thereby enabling acquisition of compressive color measurements.
Pradeep Nagesh, Baoxin Li
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Fractals, 1994
This paper begins by presenting a simple explanation of the main ideas in fractal image compression. It then presents a brief discussion of the current state of the art along with some results comparing fractal encoding, JPEG, and a wavelet scheme. The conclusion contains references to many of the latest theoretical and implementation results.
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This paper begins by presenting a simple explanation of the main ideas in fractal image compression. It then presents a brief discussion of the current state of the art along with some results comparing fractal encoding, JPEG, and a wavelet scheme. The conclusion contains references to many of the latest theoretical and implementation results.
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2014
Recent years have seen an explosion in the availability of digital images. In this chapter, we examine some current image compression standards and demonstrate how techniques presented in Chaps. 7 and 8 are applied in practice. We first describe how transform coding based on DCT (Discrete Cosine Transform), quantization, and entropy coding are explored
Ze-Nian Li, Mark S. Drew, Jiangchuan Liu
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Recent years have seen an explosion in the availability of digital images. In this chapter, we examine some current image compression standards and demonstrate how techniques presented in Chaps. 7 and 8 are applied in practice. We first describe how transform coding based on DCT (Discrete Cosine Transform), quantization, and entropy coding are explored
Ze-Nian Li, Mark S. Drew, Jiangchuan Liu
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Compression of color images [PDF]
, 2002 In this chapter we intend to cover the basic aspects of color image compression. Basic aspects of color images can be found elsewhere in this book and compression details can also be easily found in the literature. Even though we give a very brief introduction to compression methods, we intend to explore the issues pertaining to the intersection of the
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Lossy compression of noisy images
IEEE Transactions on Image Processing, 1998Noise degrades the performance of any image compression algorithm. This paper studies the effect of noise on lossy image compression. The effect of Gaussian, Poisson, and film-grain noise on compression is studied. To reduce the effect of the noise on compression, the distortion is measured with respect to the original image not to the input of the ...
Russell M. Mersereau, Osama Al-Shaykh
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An algorithm for compression of bilevel images
IEEE Transactions on Image Processing, 2001This paper presents the block arithmetic coding for image compression (BACIC) algorithm: a new method for lossless bilevel image compression which can replace JBIG, the current standard for bilevel image compression. BACIC uses the block arithmetic coder (BAC): a simple, efficient, easy-to-implement, variable-to-fixed arithmetic coder, to encode images.
M.D. Reavy, C.G. Boncelet
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2001
Data compression, and in particular image compression, plays an important role in today’s information age. Images take up over 90% of the data transfer volume on the Internet and bottlenecks like modems require heavy compression to satisfy the demands of a user.
V. Zerbe, Torsten Radtke, Peter Kroll
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Data compression, and in particular image compression, plays an important role in today’s information age. Images take up over 90% of the data transfer volume on the Internet and bottlenecks like modems require heavy compression to satisfy the demands of a user.
V. Zerbe, Torsten Radtke, Peter Kroll
openaire +2 more sources