Results 61 to 70 of about 547 (178)
Abstract X‐band Phased array radars are characterized by high spatial and temporal resolution, but suffer from a range of data quality problems, such as echo voids after the filtering of ground clutter, abnormal radials, radial obstructions and irregular missing radar echoes. This paper proposes a radar echo image restoration model (GCD) based on color
Jinyan Xu +6 more
wiley +1 more source
From Nano Robotic Manipulation to Nano Manipulation Robot
This review addresses a critical research gap by summarizing advancements in nano robotic manipulation, tracing its evolution from passive observation to autonomous nanomanipulation robots. It explores the interplay of observation, construction, and operation, unveiling fundamental principles of atomic‐scale control. The review establishes a systematic
Zhan Yang +6 more
wiley +1 more source
Fast Blind Image Deblurring Using Smoothing-Enhancing Regularizer
Blind deconvolution is a highly ill-posed problem for the restoration of degraded images and requires prior knowledge or regularization. Recently, various priors have been proposed and the models based on these priors have achieved state-of-the-art ...
Zeyang Dou +3 more
doaj +1 more source
Temperature‐Resilient Polymeric Memristors for Effective Deblurring in Static and Dynamic Imaging
A thermally stable organic memristor based on a thiadiazolobenzotriazole (TBZ) and 2,5‐Dioctyl‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione (DPP)‐based conjugated polymer is presented, demonstrating reliable, gradual resistance switching across a wide temperature range (153–573 K).
Ziyu Lv +15 more
wiley +1 more source
In image deblurring, we try to recover the original, sharp image by using a mathematical model of the blurring process. There are several techniques to recover the original image, but they could not recover the image exactly.
Shayma Wail Nourildean Mohammed Ismaeel Khalil
doaj
A blind deblurring and image decomposition approach for astronomical image restoration [PDF]
With the progress of adaptive optics systems, ground-based telescopes acquire images with improved resolutions. However, compensation for atmospheric turbulence is still partial, which leaves good scope for digital restoration techniques to recover fine details in the images.
Mourya, Rahul +3 more
openaire +3 more sources
This review explores deconvolution techniques in optical coherence tomography (OCT), addressing resolution degradation from point‐spread functions (PSF). It reviews foundational principles (e.g., Richardson‐Lucy deconvolution) to advanced AI‐driven methods, emphasizing clinical translation and interdisciplinary collaboration. Real‐world implementations
Syeda Aimen Abbasi +6 more
wiley +1 more source
Improved conditional diffusion model for image super‐resolution
Our article introduces a diffusion model based on Mean‐Reverting Stochastic Differential Equations (SDE), leveraging ENAFBlocks to enhance noise prediction performance compared to traditional ResBlocks. The Mean‐Reverting SDE utilizes low‐resolution images as means to mitigate diffusion model randomness, while an LR Encoder captures hidden information ...
Rui Wang, Ningning Zhou
wiley +1 more source
Deformable Attention Network for Efficient Space‐Time Video Super‐Resolution
Recent space‐time video super‐resolution (STVSR) works combine temporal interpolation and spatial super‐resolution in a unified framework, they face challenges in computational complexity across both temporal and spatial dimensions, particularly in achieving accurate intermediate frame interpolation and efficient temporal information utilisation.
Hua Wang +3 more
wiley +1 more source
Efficient Dark Channel Prior Based Blind Image De-blurring [PDF]
Dark channel prior for blind image de-blurring has attained considerable attention in recent past. An interesting observation in blurring process is that the value of dark channel increases after averaging with adjacent high intensity pixels.
J. Ahmad, I. Touqir, A. M. Siddiqui
doaj

