Amin Kheradmand from Mountain View, CA, age 39

Us Patents

Up-Conversion To Content Adaptive Perceptual Quantization Video Signals
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US Patent:

20190104309, Apr 4, 2019
Filed:

Sep 24, 2018
Appl. No.:

16/139965
Inventors:

- San Francisco CA, US
Amin KHERADMAND - Mountain View CA, US
Navaneeth KAMBALLUR KOTTAYIL - Edmonton, CA
Assignee:

DOLBY LABORATORIES LICENSING CORPORATION - San Francisco CA
International Classification:

H04N 19/124
H04N 19/176
H04N 19/11
H04N 19/37
H04N 19/14
H04N 19/36
Abstract:

Input minimal noise levels of are computed over input codeword bins based on image content in input images of an input bit depth. The minimal noise levels are adjusted to generate approximated minimal noise levels of a higher bit depth. The approximated minimal noise levels are used to generate per-bin bit depths over the input codeword bins. The input codeword bins are classified into first codeword bins that have relatively high risks of banding artifacts and some other input codeword bins that have relatively low or zero risks of banding artifacts based on the per-bin bit depths. Portions of bit depths from the other input codeword bins are moved to the first input codeword bins to generate modified per-bin bit depths. A forward reshaping function constructed from the modified per-bin bit depths is used to reshape the input images into reshaped images used to generate output images.

Efficient Image Processing On Content-Adaptive Pq Signal Domain
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US Patent:

20170140513, May 18, 2017
Filed:

Nov 7, 2016
Appl. No.:

15/344785
Inventors:

- San Francisco CA, US
Amin KHERADMAND - Sunnyvale CA, US
Assignee:

Dolby Laboratories Licensing Corporation - San Francisco CA
International Classification:

G06T 5/40
H04N 5/357
G06T 5/00
G06T 11/60
Abstract:

An image processing device receives one or more forward reshaped images that are generated by an image forward reshaping device from one or more wide dynamic range images based on a forward reshaping function. The forward reshaping function relates to a backward reshaping function. The image processing device performs one or more image transform operations on the one or more forward reshaped images to generate one or more processed forward reshaped images without performing backward reshaping operations on the one or more reshaped images or the one or more processed forward reshaped images based on the backward reshaping function. The one or more processed forward reshaped images are sent to a second image processing device.

Resumes

Amin Kheradmand

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Location:

San Francisco, CA

Industry:

Computer Software

Work:

Uc Santa Cruz Sep 2011 - Aug 2016
Graduate Research and Teaching Assistant
Dolby Laboratories Jun 2015 - Dec 2015
Video Imaging Research Intern
Harman International Jun 2014 - Sep 2014
Prototyping Software Engineering Intern
Uc Santa Cruz Jun 2014 - Sep 2014
Research Assistant
Sharif University of Technology Feb 2011 - Aug 2011
Research Assistant

Education:

University of California, Santa Cruz 2011 - 2016
Doctorates, Doctor of Philosophy, Electrical Engineering Amirkabir University of Technology - Tehran Polytechnic 2008 - 2011
Masters, Electrical Engineering, Communication Isfahan University of Technology 2003 - 2008
Bachelors, Bachelor of Science, Electronics Engineering John Mccrae Secondary School

Skills:

Signal Processing
Matlab
Computer Vision
Simulink
Image Processing
Latex
C++
Machine Learning
Algorithms
C
Simulations
Digital Signal Processors
Pspice
Analog Circuit Design
Digital Signal Processing
Linux
Mathematical Modeling
Artificial Intelligence
Mathematica
Pattern Recognition
Agilent Ads
Statistical Signal Processing
Digital Image Processing
Vhdl
Fpga
Sensors
Spice
Manufacturing
Verilog
Microcontrollers
Robotics
Embedded Systems
Pcb Design
Digital Tv
Speech Processing
Assembly
Inverse Problems In Imaging and Signal Processing
Image Restoration and Reconstruction
Network Analyzer
Spectrum Analyzer
Python
Image Processing For Video Codecs

Amin Kheradmand

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Amin Kheradmand Santa Cruz, CA

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Education:

University of California, Santa Cruz
Santa Cruz, CA
2011 to 2015
PhD in Electrical Engineering Amirkabir University of Technology
Tehrn
2008 to 2011
MS in Electrical Engineering Isfahan University of Technology
Isfahan, Iran
2003 to 2008
BS in Electrical Engineering

Skills:

Design and implementation of fast computational photography, and image enhancement algorithms (deblurring, super resolution, denoising, and sharpening) in MATLAB and C/C++. Languages and Tools: MATLAB, C/C++, Weka, CoolEdit. Test devices: Spectrum Analyzer, Network, Digital Video TV test devices for Digital Video Broadcasting.