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特性，本文提出了一種基于稀疏表示的文字檢測方法。
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提取特征向量的工作原理，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。