Image super-resolution reconstruction technology can boost image resolution and aid in the discovery of PCB flaws. The traditional SRGAN algorithm produces reconstructed images with great realism, but it also has disadvantages insufficient feature information extraction ability, a large number model parameters, as well lack fine-grained impact. To that end, this paper proposes an SRGAN-based fo...

objective: when none of digital systems and scanners is accessible and it is essential to have digitized images of conventional radiographs, digital cameras can be used. the aim of this study was to investigate whether digital images obtained by different resolutions of a digital camera are matched to the original radiographs in evaluation of caries. methods: in this diagnostic accuracy in vitr...

Super-resolution reconstruction of sequence remote sensing image is a technology which handles multiple low-resolution satellite remote sensing images with complementary information and obtains one or more high resolution images. The cores of the technology are high precision matching between images and high detail information extraction and fusion. In this paper puts forward a new image super ...

PURPOSE To introduce an alternative approach to three-dimensional (3D) magnetic resonance (MR) imaging using a method that is similar to x-ray tomosynthesis. METHODS Variable angle tilted-projection images are acquired using a multiple-oblique view (MOV) pulse sequence. Reconstruction is performed using three methods similar to that of x-ray tomosynthesis, which generate a set of tomographic ...

The emergence of low cost sensors capable of providing texture and depth information of a scene is enabling the deployment of several applications such as gesture and object recognition and three-dimensional reconstruction of environments. However, commercially available sensors output low resolution data, which may not be suitable when more detailed information is necessary. With the purpose o...

Introduction:In this study, ECG signals have been embedded into medical images to create a novel blind watermarking method. The embedding is done when the original image is compressed using the EZW algorithm. The extraction process is performed at the decompression time of the watermarked image. Materials and Methods: The multi-resolution watermarking with a secret key algorithm developed in th...

The spatial resolution of a hyperspectral image is often coarse because of the limitations of the imaging hardware. Super-resolution reconstruction (SRR) is a promising signal post-processing technique for hyperspectral image resolution enhancement. This paper proposes a maximum a posteriori (MAP) based multi-frame super-resolution algorithm for hyperspectral images. Principal component analysi...