Jpeg Image Compression Using Discrete Cosine Transform - A Survey

Due to the increasing requirements for transmission of images in computer, mobile environments, the research in the field of image compression has increased significantly. Image compression plays a crucial role in digital image processing, it is also very important for efficient transmission and storage of images. When we compute the number of bits per image resulting from typical sampling rates and quantization methods, we find that Image compression is needed. Therefore development of efficient techniques for image compression has become necessary .This paper is a survey for lossy image compression using Discrete Cosine Transform, it covers JPEG compression algorithm which is used for full-colour still image applications and describes all the components of it.

[1]  Lawrence A. Rowe,et al.  Algorithms for manipulating compressed images , 1993, IEEE Computer Graphics and Applications.

[2]  Stephen A. Martucci,et al.  Symmetric convolution and the discrete sine and cosine transforms , 1993, IEEE Trans. Signal Process..

[3]  Andrew B. Watson,et al.  DCT quantization matrices visually optimized for individual images , 1993, Electronic Imaging.

[4]  Xuejun Gu,et al.  Parametric image reconstruction using the discrete cosine transform for optical tomography. , 2009, Journal of biomedical optics.

[5]  Michael T. Orchard,et al.  A comparative study of DCT- and wavelet-based image coding , 1999, IEEE Trans. Circuits Syst. Video Technol..

[6]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[7]  Michael B. Martin,et al.  Applications of Multiwavelets to Image Compression , 1999 .

[8]  Lu Mei.  Image Compression-from DCT to Wavelets , 2001 .

[9]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[10]  Mislav Grgic,et al.  Performance analysis of image compression using wavelets , 2001, IEEE Trans. Ind. Electron..

[11]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[12]  Hsueh-Ming Hang,et al.  Acceleration and Implementation of JPEG2000 Encoder on TI DSP Platform , 2007, 2007 IEEE International Conference on Image Processing.

[13]  Redha Benzid,et al.  Color image compression algorithm based on the DCT transform combined to an adaptive block scanning , 2011 .

[14]  Michael J. Gormish,et al.  Next Generation Image Compression And Manipulation Using CREW , 1997, Proceedings of International Conference on Image Processing.

[15]  Subhasis Saha,et al.  Image compression—from DCT to wavelets: a review , 2000, CROS.

[16]  R. Cuninghame-Green,et al.  Applied Linear Algebra , 1979 .

[17]  Jianqin Zhou,et al.  On discrete cosine transform , 2011, ArXiv.

[18]  Gregory K. Wallace,et al.  JPEG still picture compression algorithm , 1991 .

[19]  S. Pizer,et al.  The Image Processing Handbook , 1994 .

[20]  Gregory K. Wallace,et al.  The JPEG still picture compression standard , 1991, CACM.

[21]  Khalid Sayood,et al.  Introduction to Data Compression , 1996 .

[22]  Rafael C. González,et al.  Digital image processing using MATLAB , 2006 .

[23]  P. Yip,et al.  Discrete Cosine Transform: Algorithms, Advantages, Applications , 1990 .

[24]  Jerry D. Gibson,et al.  Distributions of the Two-Dimensional DCT Coefficients for Images , 1983, IEEE Trans. Commun..

[25]  Joan L. Mitchell,et al.  JPEG: Still Image Data Compression Standard , 1992 .

[26]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[27]  Ephraim Feig,et al.  Fast algorithms for the discrete cosine transform , 1992, IEEE Trans. Signal Process..

[28]  David A. Huffman,et al.  A method for the construction of minimum-redundancy codes , 1952, Proceedings of the IRE.

[29]  I. Sebestyen,et al.  The international standardisation of a still picture compression technique , 1988, IEEE Global Telecommunications Conference and Exhibition. Communications for the Information Age.

[30]  Abraham Lempel,et al.  A universal algorithm for sequential data compression , 1977, IEEE Trans. Inf. Theory.