کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
564125 875570 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved total variation minimization method for compressive sensing by intra-prediction
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Improved total variation minimization method for compressive sensing by intra-prediction
چکیده انگلیسی

Total variation (TV) minimization algorithms are often used to recover sparse signals or images in the compressive sensing (CS). But the use of TV solvers often suffers from undesirable staircase effect. To reduce this effect, this paper presents an improved TV minimization method for block-based CS by intra-prediction. The new method conducts intra-prediction block by block in the CS reconstruction process and generates a residual for the image block being decoded in the CS measurement domain. The gradient of the residual is sparser than that of the image itself, which can lead to better reconstruction quality in CS by TV regularization. The staircase effect can also be eliminated due to effective reconstruction of the residual. Furthermore, to suppress blocking artifacts caused by intra-prediction, an efficient adaptive in-loop deblocking filter was designed for post-processing during the CS reconstruction process. Experiments show competitive performances of the proposed hybrid method in comparison with state-of-the-art TV models for CS with respect to peak signal-to-noise ratio and the subjective visual quality.


► An improved total variation minimization method is proposed for compressed sensing.
► This method applies intra-prediction to generate a residual for the image block.
► An efficient adaptive deblocking filter is designed to suppress blocking artifacts.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 92, Issue 11, November 2012, Pages 2614–2623
نویسندگان
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