A nonlinear quantization scheme for two-layer HDR image encoding

2015 ◽  
Vol 10 (5) ◽  
pp. 921-926 ◽  
Author(s):  
Ishtiaq Rasool Khan
Keyword(s):  
Quantization Scheme ◽  
Image Encoding ◽  
Nonlinear Quantization ◽  
Hdr Image

An HDR Image Encoding Method Compatible with LDR Image Format

2015 ◽  
pp. 77-85 ◽  
Author(s):  
Binling Luo ◽  
Shuting Cai ◽  
Daolin Hu ◽  
Shaojia Wen ◽  
Ming Yin ◽  
...  
Keyword(s):  
Image Encoding ◽  
Encoding Method ◽  
Image Format ◽  
Hdr Image

Fast noise removal algorithm for HDR image based on least square method

2009 ◽  
Vol 29 (4) ◽  
pp. 994-996
Author(s):  
De-quan SUN ◽  
Jun ZHANG ◽  
Xiao-feng LI ◽  
Hui LI
Keyword(s):  
Least Square Method ◽  
Noise Removal ◽  
Least Square ◽  
Hdr Image

Fractal Image Encoding

1992 ◽  
Author(s):  
Yuval Fisher ◽  
Albert Lawrence
Keyword(s):  
Image Encoding ◽  
Fractal Image

scholarly journals Model forB1Imaging in MRI Using the Rotating RF Field

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Adnan Trakic ◽  
Jin Jin ◽  
Ewald Weber ◽  
Stuart Crozier
Keyword(s):  
Degrees Of Freedom ◽  
Acoustic Noise ◽  
Bloch Equation ◽  
Gradient Coil ◽  
Imaging Method ◽  
Nonuniform Field ◽  
Rf Coil ◽  
Image Encoding ◽  
Magnetic Resonance Imaging Mri ◽  
Space Requirements

Conventionally, magnetic resonance imaging (MRI) is performed by pulsing gradient coils, which invariably leads to strong acoustic noise, patient safety concerns due to induced currents, and costly power/space requirements. This modeling study investigates a new silent, gradient coil-free MR imaging method, in which a radiofrequency (RF) coil and its nonuniform field (B1+) are mechanically rotated about the patient. The advantage of the rotatingB1+field is that, for the first time, it provides a large number of degrees of freedom to aid a successfulB1+image encoding process. The mathematical modeling was performed using flip angle modulation as part of a finite-difference-based Bloch equation solver. Preliminary results suggest that representative MR images with intensity deviations of <5% from the original image can be obtained using rotating RF field approach. This method may open up new avenues towards anatomical and functional imaging in medicine.

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