image sparse representation

基本解釋

Image sparse representation data got by sparse decomposition method are compressed by quantization and coding.
在圖像稀疏分解的基礎(chǔ)上，對(duì)分解出的數(shù)據(jù)進(jìn)行壓縮。
Considering the good performance of sparse representation for image classification, a novel sparse representation based text detection method is presented.
針對(duì)稀疏表示具有良好的分類(lèi)特性，本文提出了一種基於稀疏表示的文字檢測(cè)方法。
The 2DPCA is used to obtain the feature vectors and the compressive sensing is used to get the sparse representation of the test image given enough training images.
闡述2DPCA提取特征曏量的工作原理，利用壓縮感知方法求解待識(shí)別圖像在足夠樣本下的稀疏表示。