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In this paper, an efficient technique for image compression and quality retrieval using matrix completion is presented. The proposed technique is based on low-rank matrix completion using singular value truncation and thresholding. Here, an image is decomposed using singular value decomposition (SVD) to obtain a low rank of image data, which is approximated in compressed form. Later on, singular value thresholding algorithm is exploited to retrieve visual quality of the compressed image. The presented method is easily applicable for various visual characteristics of the image for different compression efficiency. A detailed analysis has been presented to show the efficiency of proposed method in term of compression as well as quality retrieval. It is evident from experimental results that a maximum of 80% compression is achieved with acceptable visual quality as per human vision system (HVS).