Huffman coding of DCT coefficients using dynamic codeword assignment and adaptive codebook selection

Park, Juha

doi:10.1016/s0923-5965(97)00041-6

Cited by 9 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The technique of Huffman Coding and Run Length Coding are variable length coding types and thus errorfree. Some variations of Huffman Coding can produce even better results like parallel Huffman is better than bit-by-bit serial Huffman Coding (Howard and Vitter, 1992) and adaptive Huffman Coding is still preferred over these (Jeon et al, 1998). We can also observe that time consumed to process gray code image is lesser than time required to process binary images (Xiaoli et al, 2004).…”

Section: Methodsmentioning

confidence: 78%

Review on Lossless Image Compression Techniques for Welding Radiographic Images

Venkatraman¹,

Vaithiyanathan²,

Karthikeyan³

2013

RJASET

View full text Add to dashboard Cite

Recent development in image processing allows us to apply it in different domains. Radiography image of weld joint is one area where image processing techniques can be applied. It can be used to identify the quality of the weld joint. For this the image has to be stored and processed later in the labs. In order to optimize the use of disk space compression is required. The aim of this study is to find a suitable and efficient lossless compression technique for radiographic weld images. Image compression is a technique by which the amount of data required to represent information is reduced. Hence image compression is effectively carried out by removing the redundant data. This study compares different ways of compressing the radiography images using combinations of different lossless compression techniques like RLE, Huffman.

show abstract

Section: Methodsmentioning

confidence: 78%

Review on Lossless Image Compression Techniques for Welding Radiographic Images

Venkatraman¹,

Vaithiyanathan²,

Karthikeyan³

2013

RJASET

View full text Add to dashboard Cite

show abstract

“…Many of them focus on improving the entropy coding phase to enhance the compression ratio while maintaining the image characteristics [6]- [10]. A noteworthy approach was introduced by Lakhani [7], in which the JPEG compression ratio was improved by pairing the zero-run with the preceding non-zero coefficient, achieving the highest compression ratio.…”

Section: Introductionmentioning

confidence: 99%

On Improving JPEG Entropy Coding by means of Sub-Stream Extraction

Kim

Shin

Choi

et al. 2012

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

SUMMARYWe introduce an entropy coding method to enhance the compression efficiency of JPEG. Because run-length coding and earlytermination work more effectively for longer zero sequences, we extract ones and negative ones from the coefficients and reduce the magnitude of all coefficients by one. The extracted coefficients are encoded with a designated entropy coding method. The proposed method can transmit images in two parts progressively, where the first contains JPEG-compatible image with a small amount of degradation and the second is used to add fine details. Our method improves the compression ratio by more than 5% without sacrificing the efficiency of JPEG.

show abstract

“…11, November 1999, pp. 21042111 code table allocation according to the local statistics of the image [7,8]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Performance improving in skew‐coordinates DCT method for images by entropy coding based on Gaussian mixture distribution model

Yamane

Morikawa

Nariai

2001

Electron. Comm. Jpn. Pt. I

View full text Add to dashboard Cite

SUMMARYIn the skew-coordinates DCT coding method, an image is partitioned along the edge into variably shaped blocks and coded using the skew-coordinates DCT adopted to the edge direction. Compared with the conventional square block DCT, it is known that the skew-coordinates DCT can improve power packing efficiency and can reduce mosquito noise in the reconstructed image. In this paper, the entropy coding method of the skew-coordinates DCT is studied in order to improve the compression ratio. As an entropy coding method, we adopt an adaptive code allocation method based on the Gaussian mixture distribution model and study the construction of the mixture model. Statistical characteristics of the DCT coefficients in real images are investigated and it is shown that the warping effect of the skew-coordinates DCT can reduce the local variation of the variance distribution of the DCT coefficients and that, consequently, a simple mean-power model is suitable as the mixture model. Finally, the result of a computer simulation experiment shows that the proposed method is useful in improving coding performance. © 2001 Scripta Technica, Electron Comm Jpn Pt 1, 84(7): 3744, 2001

show abstract

Huffman coding of DCT coefficients using dynamic codeword assignment and adaptive codebook selection

Cited by 9 publications

References 6 publications

Review on Lossless Image Compression Techniques for Welding Radiographic Images

Review on Lossless Image Compression Techniques for Welding Radiographic Images

On Improving JPEG Entropy Coding by means of Sub-Stream Extraction

Performance improving in skew‐coordinates DCT method for images by entropy coding based on Gaussian mixture distribution model

Contact Info

Product

Resources

About