基于特征值苑配的變比特率相關(guān)矢量量化圖像編碼算法
AN IMAGE ENCODING ALGORITHM USING VARIABLE-RATE CORRELATION VECTOR QUANTIZER BASED ON THE MATCHING OF CHARACTERISTIC VALUES
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摘要: 該文提出了一種用于圖像編碼的新穎的變比特率相關(guān)矢量量化器。在編碼之前,首先計(jì)算各碼字的四個(gè)特征值,然后根據(jù)各特征值的升序排列得到相應(yīng)的四個(gè)排序碼書。在對(duì)當(dāng)前輸入矢量(當(dāng)前處理圖像塊)進(jìn)行編碼的過程中,充分考慮當(dāng)前處理圖像塊與其相鄰圖像塊之間的相關(guān)性以及各碼字特征值與該輸入矢量特征值之間的匹配性。測(cè)試結(jié)果表明,該算法與傳統(tǒng)矢量量化(VQ)器相比,雖然在編碼質(zhì)量上有少許下降,但降低了比特率并加快了編碼速度。
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關(guān)鍵詞:
- 圖像編碼; 矢量量化
Abstract: A novel variable-rate correlation vector quantizer is presented for image encoding in this paper. Before encoding, four characteristic values of each codeword are computed, then four corresponding sorted codebooks are obtained according to the ascending order of the four characteristic values of codewords respectively. During the encoding, high correlation of the adjacent image blocks and characteristic values of the current processing vector and codewords are considered to encode the current processing vector. Experimental results show that, although the encoding quality of the proposed algorithm is a little worse than that of the conventional VCS, the bit rate of the proposed algorithm is tower than that of the conventional VQ, and the encoding time of the proposed algorithm is much shorter than that of the conventional VCS. -
A. Gersho, R. M. Gray, Vector Quantization and Signal Compression, Boston, MA, Kluwer, 1992,307-688.[2]Y. Linde, A. Buzo, R. M. Gray, An algorithm for vector quantizer design, IEEE Trans. onCoinmun., 1980, COM-28(1), 84-95.[3]C.D. Bei, R. M. Gray, An improvement of the minimum distortion encoding algorithm for vector quantization, IEEE Trans. on Commun., 1985, COM-33(10), 1132-1133.[4]T. Kim, Side natch and overlap match vector quantizers for images, IEEE Trans. on Image Processing, 1992, IP-1(2), 170-185. -
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