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Related Concept Videos

Upsampling01:22

Upsampling

319
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
319
Downsampling01:20

Downsampling

257
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
257
Aliasing01:18

Aliasing

234
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
234
Fast Fourier Transform01:10

Fast Fourier Transform

478
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
478
Differential Leveling01:12

Differential Leveling

319
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
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Related Experiment Video

Updated: Sep 16, 2025

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
06:50

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High-Radix Taylor-Optimized Tone Mapping Processor for Adaptive 4K HDR Video at 30 FPS.

Xianglong Wang1, Zhiyong Lai1, Lei Chen1

  • 1School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
Summary

This study introduces an efficient adaptive High Dynamic Range (HDR) tone mapping processor for real-time visual applications. The novel design enhances image quality and processing speed, overcoming limitations of current Low Dynamic Range (LDR) systems.

Keywords:
FPGAHDRtone mapping

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Area of Science:

  • Computer Vision
  • Image Processing
  • Hardware Acceleration

Background:

  • High Dynamic Range (HDR) imaging offers superior visual fidelity but faces real-time processing challenges.
  • Existing Low Dynamic Range (LDR) systems and complex tone mapping algorithms limit practical HDR applications.
  • The demand for real-time HDR processing is growing in computer vision, photography, and medical imaging.

Purpose of the Study:

  • To develop an adaptive HDR tone mapping processor with high computational efficiency and robust image quality.
  • To enable consistent performance across diverse and fluctuating illumination conditions.
  • To accelerate HDR processing for high-resolution, real-time applications.

Main Methods:

  • An exposure-adaptive factor integrated into a bilateral filtering framework dynamically optimizes parameters.
  • A high-radix Taylor expansion technique accelerates floating-point logarithmic and exponential operations.
  • Implementation on a Xilinx XCVU9P FPGA for hardware acceleration.

Main Results:

  • The processor achieves 4K video processing at 30 frames per second (FPS) and operates at 250 MHz.
  • Demonstrates superior image fidelity with an average Tone Mapping Quality Index (TMQI) of 0.9314.
  • Achieves 43% reduction in logic resources compared to state-of-the-art designs.

Conclusions:

  • The proposed adaptive HDR tone mapping processor offers significant improvements in throughput and hardware efficiency.
  • Enables real-time HDR processing for demanding high-resolution applications.
  • Outperforms existing solutions in both performance and resource utilization.