This paper proposes an adaptive compressive sensing reconstruction method which provides a higher recovered image quality. Based on an initial compressive ...
This paper proposes an adaptive compressive sensing recon- struction method which provides a higher recovered image quality. Based on an initial compressive ...
Akbari proposes an adaptive saliency-based compressive sensing image reconstruction method, but the saliency computation is employed in the spatial domain ...
Oct 22, 2024 · In this paper, we propose a saliency-based adaptive CS scheme that allocates more sampling resources to salient regions but fewer to non-salient ...
Experimental results on natural images show that the proposed adaptive CS scheme improves the visual quality of reconstructed image, and has better ...
The two algorithms permit reconstruction in real time, averaging 8 ms and 26 ms for 256 × 256 and 512 × 512 greyscale images, respectively, using a simple ...
In this section, we propose a saliency-based block sampling technique in which the inference accuracy of the reconstructed image in CV tasks is improved. Block- ...
Jun 8, 2017 · In this paper, we propose a saliency-based adaptive CS scheme that allocates more sampling resources to salient regions but fewer to non-salient regions.
Missing: sensing reconstruction.
Rather than directly sampling the entire HD signal, SCI systems capture a compressed version of the data, resulting in compressed measurements. However, the ...
Our method involves the adaptive measurement and reconstruction of color images based on visual saliency detection. First, we divide the image into blocks and ...