摘要:
該文提出了一種改進(jìn)的低功耗并且只需少量存儲(chǔ)空間的圖像,視頻編碼方案,它是基于矢量量化的,K.Masselos等人1998年提出的方案使用了一個(gè)小的基本碼書,然后通過(guò)對(duì)基本碼書中的每一碼字進(jìn)行八種對(duì)稱變換,從而把小的基本碼書擴(kuò)展成為一個(gè)大的虛碼書,補(bǔ)償了因?yàn)榇a書的尺寸太小而引起的圖象質(zhì)量下降,因?yàn)樗幕敬a書小,從而對(duì)存儲(chǔ)器的訪問(wèn)次數(shù)也就少,那么功耗也就小。同原方案相比,本文做出了如下兩個(gè)改進(jìn):一是基本碼書中存放的是碼字的經(jīng)過(guò)量化的DCT系數(shù),尋找最佳匹配碼字也放在DCT域內(nèi)進(jìn)行,二是改進(jìn)了K.Masselos文中的基本碼書的設(shè)計(jì)方案,消除了碼書中存在的重復(fù)。改進(jìn)方案具有計(jì)算量更小,操作更靈活的特點(diǎn)。
Abstract:
In this paper, a modified scheme for small memories and low-power image and video coding is presented. It is based on vector quantization. In 1998, K. Masselos uses a small codebook, and by using simple but efficient transformations to the codewords during coding procesa the small codebook is extended, thus compensated for the quality degradation intro-
duced by the small codebook size. In this way, the power consumption is reduced. Compared to the scheme proposed by K. Masselos, we store the quantized DCT coefficients of codewords in the codebook instead of the codewords itself, and the distortion calculation is performed in the DCT field respectively. Because we use only a part of coefficients to calculate the distances, the distortion calculation is simplified. Furthermore, we modified the way of designing the small (odebook; the possible redundancy in K. Masseloss codebook is eliminated.
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