Entropy Coding

Lecture Multimedia communication - Lesson 5: Still image. This lesson provides students with content about: image; color models; image compression; chroma sub-sampling; JPEG standard; JPEG coding; discrete cosine transform; entropy encoding; zigzag order; DPCM & RLC; Huffman coding;... Please refer to the detailed content of the lecture!

26p codabach1016 03-05-2024 0 0   Download

Ebook "Video codec design - Developing image and video compression systems" includes content: Introduction, digital video, image and video compression fundamentals, vide coding standards - JPEG and MPEG, motion estimation and compensation, transform coding, entropy coding, transmission of coded video,...and other contents.

313p haojiubujain07 20-09-2023 8 5   Download

Chapter 9: Basic compression algorithms. The following will be discussed in this chapter: Modeling and compression, basics of information theory, entropy example, Shannon’s coding theorem, compression in multimedia data, lossless vs lossy compression,...

78p estupendo4 18-08-2016 53 3   Download

Bài giảng Lý thuyết thông tin (Information Theory) trang bị cho người học những kiên thức cơ bản về: Mã hoá và giải mã, mã Huffman, nén dữ liệu và entropy, truyền tin trên kênh nhiễu, mã Hamming, mã tuyến tính (linear code),... Mời các bạn cùng tham khảo.

7p allbymyself_08 22-02-2016 124 7   Download

Lecture Digital image processing: Image compression presents the following content: Image compression – Decompression steps, error metrics, classifying image data, bit allocation, quantization, entropy coding, JPEG compression.

19p youcanletgo_04 17-01-2016 32 2   Download

CS 450: Compression presents about coding; Information; Example Information; Information vs Data; Quantifying Information - Entropy; Context; Calculating Information in Context; Types of Redundancy; Entropy Coding; Vector Quantization; Interpixel Redundancy;...

28p cocacola_08 21-11-2015 48 1   Download

 Compression of executable code in embedded microprocessor systems, used in the past mainly to reduce the memory footprint of embedded software, is gaining interest for the potential reduction in memory bus traffic and power consumption. We propose three new schemes for code compression, based on the concepts of static (using the static representation of the executable) and dynamic (using program execution traces) entropy and compare them with a state-of-the-art compression scheme, IBM’s CodePack.

16p alehaphoho 22-06-2015 57 4   Download

Mã hóa Entropy (Lossless coding) Là các dạng mã hóa nhằm loại bỏ các dư thừa thông tin. Thông tin sau khi giải mã bằng chính xác thông tin trước khi mã. Mã hóa dự đoán (Lossy coding) Là các dạng mã hóa nhằm loại bỏ các dư thừa thông tin. Thông tin sau khi giải có thể (ít nhiều) khác thông tin trước khi mã.

40p online_12 08-11-2013 61 3   Download

To accomplish the sad duty of paying homage to Alain Glavieux, I have referred to his biography as much as my own memories. Two points of this biography struck me, although I had hardly paid attention to them until now. I first noted that Alain Glavieux, born in 1949, is the exact contemporary of information theory, since it was based on the articles of Shannon in 1948 and 1949. I also noted that his first research at the Ecole Nationale Supérieure de Télécommunications de Bretagne (ENST Brittany) related to underwater acoustic communications. ...

0p tiramisu0908 15-10-2012 51 3   Download

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 Multimedia Encryption with Joint Randomized Entropy Coding and Rotation in Partitioned Bitstream

18p sting10 24-02-2012 50 3   Download

This book is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy chan- nels. The eventual goal is a general development of Shannon's mathematical theory of communication, but much of the space is devoted to the tools and methods required to prove the Shannon coding theorems. These tools form an area common to ergodic theory and information theory and comprise several quantitative notions of the information in random variables, random processes, and dynamical systems....

306p toad_prince9x 30-09-2011 135 31   Download

We saw in the previous section that a perfect (entropy-bounded) coding scheme would use Li = − log2 pi bits to encode character i (in the range 1 ≤ i ≤ Nch ), if pi is its probability of occurrence.

6p babyuni 17-08-2010 76 2   Download