Research On The Method Of Visual Redundancy Information Suppression Based On Matrix Factorization

The application of the image has been heavily into every aspect of our life,more and more images need us to identify.Therefore,in the field of image processing,target recognition has become a very important part,and has a strict requirement for the reliability of the results.In the face of the background of the input image is very complex and contains a large amount of redundant information,the region of interest(ROI),a partial region can cause visual attention,is possible to quickly attract the attention of the human visual system and makes the human visual system to prioritize and final recognition,thereby ignoring the visual redundant information,namely those not cause the attention of the visual information.Therefore,in image processing,visual redundancy information on the role of the human eye is very small,the human eye is mainly concerned about the region of interest.In the process of the detection of the region of interest,it should weaken or even remove the redundant information of the image,which is very important for image processing.In view of the sensitivity of the human eye system to image contrast,this feature is introduced into the salient object detection.In the application of matrix decomposition method,it is found that the decomposition of low rank sparse matrix has a very good inhibitory effect on the background of the image.Can be separated from the background of the original image and the significant target,that is,low rank corresponds to the background part,sparse corresponding significant part.Combining with low rank sparse matrix decomposition and the visual characteristics,the matrix decomposition method is applied to the black and white image and color image.It is proposed that low rank sparse matrix decomposition method based on global and local and low rank sparse matrix decomposition method based on multi feature.First of all,the contrast of the results of significant detection is not very good to suppress the background information of the image.So the matrix decomposition is introduced in this method because the inhibitory effect of matrix decomposition on the background is better.Then,in order to apply the matrix decomposition to color image,combined with the feature separation method of Itti model,the matrix decomposition is extended to multi feature matrix decomposition.The method fusion of multiple features is based on matrix decomposition,which is different from the previous linear or other fusion methods.Finally,the simulation experiment is carried out.The experimental results show that the algorithm can effectively suppress the visual redundancy in the image and improve the detection efficiency of significant targets efficiency.