Secondly , the schematic theory of image coding and compression via adaptive transforms is developed . the cost functions commonly used for adaptive transforms are summarized 提出了基于自適應(yīng)變換圖像編碼系統(tǒng)的框架性理論,總結(jié)了進(jìn)行自適應(yīng)變換的各種常用代價(jià)函數(shù)。
Our research is completed on the h . 263 framework . in this paper , the theory of image coding and the recommendation h . 263 are introduced . then the author describes several methods , which can improve the performance of the baseline h . 263 encoder 本文的研究工作是在h . 263標(biāo)準(zhǔn)的框架下進(jìn)行的,首先介紹了圖像編碼的原理,然后對甚低碼率圖像編碼技術(shù)進(jìn)行了深入細(xì)致的研究。
In these days , image compression is put into practice widely in many fields such as biomedical applications , wireless communications , computer graphics etc . the paper is under the background of " the research on recognition algorithm of video signal sampling system in intelligent transportation system " , which is a project of hubei province scientific deparment . pointed to the problem of image compression in image signal sampling and transmitting real time , this paper mainly discusses and analyzes lossy compression of still images deeply based on theories of image coding , artificial neural network , wavelet transform , the paper presents a compression scheme for still images 本論文以湖北省科技廳項(xiàng)目“智能運(yùn)輸系統(tǒng)視頻信號采集系統(tǒng)識別算法研究”為背景,針對圖像信號采集和實(shí)時(shí)傳輸中的圖像壓縮問題,基于圖像編碼理論、人工神經(jīng)網(wǎng)絡(luò)理論和小波變換理論對靜態(tài)圖像的有損壓縮技術(shù)進(jìn)行了較深入的分析、比較和研究,提出了靜態(tài)圖像的有損壓縮方案。