CONTOUR BASED MULTI-ROI MULTI-QUALITY ROI CODING FOR STILL IMAGE

Region-of-interest (ROI) image coding is one of the new features included in the JPEG2000 image coding standard. Two methods are defined in the standard: the Maxshift method and the generic scaling based method. In this paper, a new region-of-interest coding method called Contour-based Multi-ROI Multi-quality Image Coding (CMM) is proposed. Unlike other existing methods, the CMM method takes the contour and texture of the whole image as a special ROI, which makes the visually most important parts (in both ROI and Background) to be coded first. Experimental results indicate that the proposed method significantly outperforms the previous ROI coding schemes in the overall ROI coding performance.

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AN IMPROVED EMBEDDED ZEROTREE WAVELET IMAGE CODING METHOD BASED ON COEFFICIENT PARTITIONING USING MORPHOLOGICAL OPERATION

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001400000490 ◽

2000 ◽

Vol 14 (06) ◽

pp. 795-807 ◽

Cited By ~ 3

Author(s):

JUNMEI ZHONG ◽

C. H. LEUNG ◽

Y. Y. TANG

Keyword(s):

Image Compression ◽

Video Coding ◽

Image Coding ◽

Experimental Results ◽

Morphological Operation ◽

Compression Algorithms ◽

Still Image ◽

Coding Method ◽

Wavelet Image ◽

Image Compression Algorithm

In recent years, wavelets have attracted great attention in both still image compression and video coding, and several novel wavelet-based image compression algorithms have been developed so far, one of which is Shapiro's embedded zerotree wavelet (EZW) image compression algorithm. However, there are still some deficiencies in this algorithm. In this paper, after the analysis of the deficiency in EZW, a new algorithm based on quantized coefficient partitioning using morphological operation is proposed. Instead of encoding the coefficients in each subband line-by-line, regions in which most of the quantized coefficients are significant are extracted by morphological dilation and encoded first. This is followed by using zerotrees to encode the remaining space which has mostly zeros. Experimental results show that the proposed algorithm is not only superior to the EZW, but also compares favorably with the most efficient wavelet-based image compression algorithms reported so far.

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Efficient region of interest coding techniques in the upcoming JPEG2000 still image coding standard

10.1109/icip.2000.899220 ◽

2000 ◽

Cited By ~ 17

Author(s):

C. Christopoulos ◽

J. Askelof ◽

M. Larsson

Keyword(s):

Image Coding ◽

Region Of Interest ◽

Still Image ◽

Region Of Interest Coding

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Research on Lossless Predictive Coding Methods for Stereo Images

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.596.406 ◽

2014 ◽

Vol 596 ◽

pp. 406-412 ◽

Cited By ~ 1

Author(s):

Shi Gao Li

Keyword(s):

Image Coding ◽

Predictive Coding ◽

Prediction Method ◽

Code Rate ◽

Experimental Results ◽

Stereo Image ◽

Stereoscopic Image ◽

Coding Method ◽

Image Pairs ◽

Very High

There exists very high correlation between left-view images and right-view images of stereo image pairs. The correlation can help to reduce the stereoscopic image coding bit rate. Proposed methods first estimate the disparity by using causal neighborhood pixels. And then a prediction method which combines inter-view prediction with intra-view prediction is used to obtain a better predictive coding method for target-view images. The reference-view images are then encoded by using those commonly used prediction coding method. The experimental results show that compared with those methods using only intra-view correlation, the proposed method can obtain lower code rate.

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