Results 41 to 50 of about 8,731 (212)

Histogram Stretching Or Histogram Equalization In Image Processing [PDF]

open access: yesMicroscopy Today, 1998
Abstract A few weeks ago, a person posted an interesting question on an internet microscopy mailing list: what is the difference between histogram stretching and histogram equalization when applied to microscopy images? The following is a short intuitive review which compares the two. Since this is a short and general description, I will
openaire   +1 more source

Comparative Evaluation of Histogram Equalization-Based Preprocessing for UAV Thermal–RGB Orthophoto Registration

open access: yesGeomatics
Accurate registration of UAV-derived thermal infrared orthophotos and RGB orthophotos is essential for multi-sensor geospatial analysis, but it remains challenging because thermal imagery generally has lower spatial resolution, weaker texture, and less ...
Kirim Lee, Wonhee Lee
doaj   +1 more source

FACE RECOGNITION USING DEEP NEURAL NETWORKS WITH THE COMBINATION OF DISCRETE WAVELET TRANSFORM, STATIONARY WAVELET TRANSFORM, AND DISCRETE COSINE TRANSFORM METHODS

open access: yesJUTI: Jurnal Ilmiah Teknologi Informasi, 2020
Personal identification can be done by using face, fingerprint, palm prints, eye’s retina, or voice recognition which commonly called as biometric methods. Face recognition is the most popular and widely used among those biometric methods. However, there
Afrizal Laksita Akbar   +2 more
doaj   +1 more source

An Inverse Problem: Histogram Equalization

open access: yes, 1998
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Dinu Coltuc, Philippe Bolon
openaire   +2 more sources

Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave Signal Processing and In‐Memory Matrix Multiplication

open access: yesAdvanced Functional Materials, EarlyView.
Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son   +5 more
wiley   +1 more source

An Adaptive Detail Equalization for Infrared Image Enhancement Based on Multi-Scale Convolution

open access: yesIEEE Access, 2020
In order to solve the problem of low contrast and fuzzy detail in infrared image, we propose an infrared image enhancement method based on multi-scale and adaptive bi-interval histogram equalization with details. The method mainly consists of four parts:
Haoxiang Lu, Zhenbing Liu, Xipeng Pan
doaj   +1 more source

All‐Solution‐Processed HgTe Quantum Dot Photodetectors for Extended Short‐Wavelength Infrared Range Enhanced by Plasmonic ITO Nanocrystals

open access: yesAdvanced Functional Materials, EarlyView.
All‐solution‐processed, low‐cost extended short‐wavelength infrared photodetectors are realized by coupling colloidal HgTe quantum dots to plasmonic In2O3:Sn,F nanocrystals. Localized surface plasmon resonances boost and spectrally tailor light absorption between 1500 and 3000 nm, enabling responsivities above 40 A W−1.
Kseniia A. Sergeeva   +9 more
wiley   +1 more source

A low-light image enhancement method with brightness balance and detail preservation

open access: yesPLoS ONE, 2022
This paper proposes a new method for low-light image enhancement with balancing image brightness and preserving image details, this method can improve the brightness and contrast of low-light images while maintaining image details.
Canlin Li   +4 more
doaj   +2 more sources

Local Contrast-Based Pixel Ordering for Exact Histogram Specification

open access: yesJournal of Imaging, 2022
Histogram equalization is one of the basic image processing tasks for contrast enhancement, and its generalized version is histogram specification, which accepts arbitrary shapes of target histograms including uniform distributions for histogram ...
Kohei Inoue, Naoki Ono, Kenji Hara
doaj   +1 more source

Histogram Equalization using Neighborhood Metrics [PDF]

open access: yesThe 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005
We present a refinement of histogram equalization which uses both global and local information to remap the image grey levels. Local image properties, which we generally call neighborhood metrics, are used to subdivide histogram bins that would be otherwise indivisible using classical histogram equalization (HE). Choice of the metric influences how the
Mark G. Eramian, David Mould
openaire   +1 more source

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