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Image resizing can be achieved more effectively if we have a better understanding of the image semantics. In this paper, we analyze the <i>translational symmetry</i>, which exists in many real-world images. By detecting the symmetric lattice in an image, we can <i>summarize</i>, instead of only distorting or cropping, the image content. This opens a new(More)
In this paper, a novel analog gamma correction scheme with a logarithmic image sensor dedicated to minimize the quantization noise of the high dynamic applications is presented. The proposed implementation exploits a non-linear voltage-controlled-oscillator (VCO) based analog-to-digital converter (ADC) to perform the gamma correction during the(More)
Structure-aware halftoning technique is one of the state-of-the-art algorithms for generating structure-preserving bitonal images. However, the slow optimization process prohibits its real-time application. This is due to its high computational cost of similarity measurement and iterative refinement. Unfortunately, the structure-aware halftoning cannot be(More)
Single-image blind deblurring for imaging sensors in the Internet of Things (IoT) is a challenging ill-conditioned inverse problem, which requires regularization techniques to stabilize the image restoration process. The purpose is to recover the underlying blur kernel and latent sharp image from only one blurred image. Under many degraded imaging(More)
Mesh denoising is imperative for improving imperfect surfaces acquired by scanning devices. The main challenge is to faithfully retain geometric features and avoid introducing additional artifacts when removing noise. Unlike the existing mesh denoising techniques that focus only on either the first-order features or high-order differential properties, our(More)
This paper present a novel algorithm for cartoon image segmentation based on the simple linear iterative clustering (SLIC) superpixels and adaptive region propagation merging. To break the limitation of the original SLIC algorithm in confirming to image boundaries, this paper proposed to improve the quality of the superpixels generation based on the(More)
Face detection is an important task in the field of computer vision, which is widely used in the field of security, human-machine interaction, identity recognition, and etc. Many existing methods are developed for image based face pose estimation, but few of them can be directly extended to videos. However, video-based face pose estimation is much more(More)
With the rapid development of network technology and multimedia technology, the researchers found that the neurobiology of human vision, computer vision and image and video processing and efficient combination for image, video can provide a more good solution of content retrieval applications, on the one hand, the simulation and study of visual attention(More)