Results 61 to 70 of about 6,569 (169)
Learning to Extract a Video Sequence from a Single Motion-Blurred Image
, 2018 We present a method to extract a video sequence from a single motion-blurred image. Motion-blurred images are the result of an averaging process, where instant frames are accumulated over time during the exposure of the sensor.
Favaro, Paolo +2 more
core +1 more source
Temperature reconstruction of infrared images with motion deblurring [PDF]
Journal of Sensors and Sensor Systems, 2018 Infrared images of an uncooled microbolometer camera can show significant blurring effects while recording a moving object. The electrical signal in the pixel of a microbolometer detector decays exponentially; hence, the moving object is mapped to ...
B. Oswald-Tranta
doaj +1 more source
StripWinformer: Locally-Enhanced Transformer for Image Motion Deblurring
IEEE AccessSingle image motion deblurring is a critical low-level computer vision task, aiming to restore clear and sharp images from motion-corrupted counterparts.
Tsung-Han Tsai, Yz-Heng Lin
doaj +1 more source
Recent Progress in Image Deblurring [PDF]
, 2014 This paper comprehensively reviews the recent development of image deblurring, including non-blind/blind, spatially invariant/variant deblurring techniques.
Tao, Dacheng, Wang, Ruxin
core
Learning to Deblur Images with Exemplars
, 2018 Human faces are one interesting object class with numerous applications. While significant progress has been made in the generic deblurring problem, existing methods are less effective for blurry face images.
Hu, Zhe +3 more
core +1 more source
Convolutional Deblurring for Natural Imaging
, 2019 In this paper, we propose a novel design of image deblurring in the form of one-shot convolution filtering that can directly convolve with naturally blurred images for restoration.
Hosseini, Mahdi S. +1 more
core +1 more source
Hierarchical Patch Aggregation Transformer for Motion Deblurring
Neural Processing Letters, 2023 Abstract The encoder-decoder framework based on Transformer components has become a paradigm in the field of image deblurring architecture design. In this paper, we critically revisit this approach and find that many current architectures severely focus on limited local regions during the feature extraction stage.
Yujie Wu +3 more
openaire +1 more source
Optimized Pre-Compensating Compression
, 2018 In imaging systems, following acquisition, an image/video is transmitted or stored and eventually presented to human observers using different and often imperfect display devices.
Bruckstein, Alfred M. +2 more
core +1 more source
IET Intelligent Transport Systems, 2023 Maritime surveillance systems have been commonly exploited in vessel traffic services. The maritime visual information can be obtained through shore‐borne, ship‐borne or air‐borne cameras. However, the obtained visual data often suffers from blur effects
Yanhong Huang +2 more
doaj +1 more source
Fast and easy blind deblurring using an inverse filter and PROBE
, 2017 PROBE (Progressive Removal of Blur Residual) is a recursive framework for blind deblurring. Using the elementary modified inverse filter at its core, PROBE's experimental performance meets or exceeds the state of the art, both visually and quantitatively.
J Kotera +11 more
core +1 more source