Aspects of the disclosure provide a method for denoising a reconstructed picture in a video coding system. The method can include providing two or more candidate non-local denoising technologies, selecting a target non-local denoising technology from the two or more candidate non-local denoising technologies for a patch group, and denoising the patch group of the reconstructed picture with the target non-local denoising technology. Besides, two parallel processing methods are provided for forming patch groups with predictor-based searching algorithms.

Non-local adaptive loop filter combining multiple denoising technologies and grouping image patches in parallel

The invention belongs to the field of image processing, and provides an image deblocking effect method based on image compression, which is used for overcoming the defects of high calculation complexity and long deblocking effect time of the prior deblocking effect technology. The invention combines the gradient variation of adjacent image blocks and the transform domain coefficients to constructa deblocking effect optimization function based on the transform coefficients. By solving the constrained optimization problem, the filtered boundary pixels are obtained. At that same time of minimizing the gradient of the edge regions of adjacent compress image blocks, the consistency of the transform coefficients before and after deblocking effect is ensure, so that the secondary error caused bydeblocking effect is reduced while the blocking effect is removed. After the invention is applied to the decoded image, the peak signal-to-noise ratio of the decoded image can be obviously improved,and the perception of the human eye subjective vision can be greatly improved. Moreover, the complexity of the algorithm is greatly reduced, and the blocking effect caused by DCT transform can be eliminated effectively.

A deblocking effect method based on image compression

The invention provides a filtering method and apparatus for a compressed video According to the method and apparatus, through high-order singular value decomposition processing, the non-local spatialcorrelation in a video frame can be effectively utilized, the quality of the compressed video is improved, and the video compression performance is further enhanced Moreover, the filtering method isapplied to a video encoding loop so that the quality of a reference frame can be improved, the prediction efficiency is further improved, and the encoding performance is enhanced The filtering method for the compressed video based on the non-local spatial correlation is proposed, and the corresponding apparatus is also proposed

Filtering method and filtering apparatus for compressed video

Embodiments of the present application provide a method and device for video processing, and can reduce the consumption of hardware resources and a storage space occupied thereby in a process of obtaining a motion vector. The method comprises: down-sampling, in a process of obtaining a motion vector of a current image block and before matching a reconstructed image used for matching, reconstructed image data; performing matching by using the down-sampled reconstructed image data of the reconstructed image, to obtain a matching result; and obtaining the motion vector of the current image block on the basis of the matching result.

Method and device for video processing

The invention belongs to the field of image processing and provides a de-blocking filter method based on image second-order gradient. The method reasonably adjusts compressed pixels by using the second-order gradient feature of the pixels on both sides of a compressed image block boundary, thereby realizing the smoothing of the image block boundary and effectively removing the block effect in image compression. Further, the filter method of the invention fully utilizes the second-order gradient variation characteristic of the image block boundary, thereby retaining the original features of theimage and preventing image detail information loss caused by filtering. The filter method of the invention has a high application value in the actual processing of the compressed image because of lowcomputational complexity and an obvious effect.

Image de-blocking filter method based on second-order gradient

The invention provides a video coding image filtering method based on image nonlocal structural similarity characteristic. The method mainly comprises the following steps: dividing an original video coding image frame into a plurality of overlapping blocks In*n in a video coding framework, searching similar blocks for each block In*n according to a set search radius, and constructing a group G for the searched similar blocks; carrying out singular value decomposition on the group G to get a singular value diagonal matrix Sigma; carrying out hard threshold filtering on the singular value diagonal matrix Sigma according to an adaptive filtering threshold to get a filtered structural similarity group G'; and carrying out frame reconstruction according to the reconstruction values corresponding to all the pixels in the original video coding image frame to get a filtered video coding image frame. According to the method, the adaptively selected filtering threshold can be determined according to parameters trained offline, uniform reconstruction is carried out after filtering, so that better subjective and objective quality is achieved, and the purpose of improving the coding performance is achieved.

Video coding image filtering method based on image nonlocal structural similarity characteristic

The embodiment of the invention provides a method for eliminating the block effect of video coding images. According to the method, summation normalization operation is performed on a matrix from rows and columns based on the linear transformation property of the matrix, the maximum singular value and the corresponding left and right singular vectors of a current matrix module are worked out through iteration, and the purpose of quick singular value calculation is achieved. Through the method, singular value decomposition filtering operation can be carried out under the condition that the matrix is not decomposed completely, the algorithm complexity is reduced effectively during low-rank matrix processing, and the accuracy of the singular value can be adjusted according to the actual need in the algorithm. The method can be effectively applied to matrix singular value decomposition operation in the process of video coding and filtering requiring high real-time performance to effectively eliminate the difference between rows and between columns in a video coding image matrix, improve the visual effect of video coding images and improve the coding performance.

Method for eliminating block effect of video coding images

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Ma Siwei

Author Tools

Chat about Author

Papers

Video coding image filtering method based on image nonlocal structural similarity characteristic

Method for eliminating block effect of video coding images