摘要
图像表示是图像处理领域研究的基础,对后继各种处理具有重要影响。寻找简洁有效的图像表示方法,对于推动图像处理领域的研究发展意义重大。针对二维可分离小波变换在稀疏表达图像中存在的问题,研究了各种超小波稀疏表示方法,并对未来发展进行预见性研究。
Image representation is the basis research problems in image processing, which has an important influence on the subsequent processing. Seeking a sparse image representation helps to promote the development of image processing research. The representation of the image sparse process is analyzed in this paper. And various improved methods based super wavelet transform are discussed, aiming at the backwards of the image sparse representation using two -dimension separable wavelet. Then the future research and development is also predicted.
出处
《电视技术》
北大核心
2012年第13期44-47,共4页
Video Engineering
基金
河北省自然科学基金(A2011208007)
国家自然科学基金项目(11002046)
关键词
超小波
图像表示
稀疏表示
super wavelet transform
image representation
sparse representation
