In this work, a dictionary selection approach is developed for gastroscopy image sparse representation and compressed sensing with limited training set.
Moreover, dictionary selection scheme is also applied to image inpainting task and shows a better performance compared with DCT dictionary and K-SVD dictionary.
Bibliographic details on Gastroscopy Image Compression with Dictionary Selection and 1-bit Sensing Matrix.
Gastroscopy Image Compression with Dictionary Selection and 1-bit Sensing Matrix. ... dictionary optimization applied in real image for compressed sensing ...
This study deals with the issue of designing the sensing matrix for a compressed sensing (CS) system assuming that the dictionary is given. Traditionally, the ...
May 14, 2024 · Gastroscopy Image Compression with Dictionary Selection and 1-bit Sensing Matrix. DSP 2018: 1-5; 2017. [c3]. view. electronic edition via DOI ...
This paper deals with dictionary learning and optimal sensing matrix design for compressed sensing (CS) systems. An improved version of the method of optimal ...
Jun 2, 2017 · Purpose. Serial endoscopic examinations of a patient are important for early diagnosis of malignancies in the gastrointestinal tract.
This paper proposes Coefficient Mixed Thresholding based ABCS (CMT-ABCS) for compressing different medical images with a high compression ratio.
Missing: Gastroscopy | Show results with:Gastroscopy
Gastroscopy Image Compression with Dictionary Selection and 1-bit Sensing Matrix ... Multi-bit Decentralized Detection of a Weak Signal in Wireless Sensor ...