In this paper, a new lossless image compression technique, shape-vector quantization (VQ)-based adaptive predictive coder (SAPC), is introduced. In the proposed scheme, the local shape information of the image block is obtained through shape-VQ. This information is utilized by a novel predictive cod
A hybrid image coder with vector quantizer
โ Scribed by Stefano Tubaro
- Book ID
- 103958532
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 911 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0923-5965
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โฆ Synopsis
In this paper the scheme of a hybrid coder is presented, it uses a motion compensated predictor to obtain, from the present image and the previously coded one, a new image which represents the motion compensated luminance differences. Then, this new image is vector quantized. Each vector contains 16 elements (obtained from a square block of 4 x 4 pels). Four different codebooks are used for the quantization, taking into account the local image detail. To reconstruct the images at the receiver side, the estimated motion fie,! must be transmitted; this is done using certain adequate compression techniques. At about 0.5 bpp, the coded images, obtained by proper simulations, have good quality, close to that obtained with a hybrid DCT coder.
KeDvords. Hybrid coding, motion compensated luminance difference, vector quantization.
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