Image contrast enhancement for intelligent surveillance systems using multi-local histogram transformation

Kwak, Hwan-Joo; Park, Gwi-Tae

doi:10.1007/s10845-012-0663-4

Cited by 11 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The spatial domain enhancement strategies are pioneered by the linear contrast stretching methods that change the range of intensity values. Histogram equalization (HE) is another widely used technique which tries to equalize the density of the pixel values [2]. Nevertheless, these methods lead to overenhancement to the high peaks in the input data.…”

Section: Introductionmentioning

confidence: 99%

A Retinex-Based Variational Model for Enhancement and Restoration of Low-Contrast Remote-Sensed Images Corrupted by Shot Noise

Febin

Jidesh

Bini

2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

Remotely sensed images are widely used in many imaging applications. Images captured under adverse atmospheric conditions lead to degraded images that are contrast deficient and noisy. This study is intended to address these defects of remotely sensed data efficiently. A perceptually inspired variational model is designed based upon the Bayesian framework, powered by the retinex theory. The atmospheric noise or the shot noise (precisely following a Poisson distribution) and contrast inhomogeneity are addressed in this article. The model thus designed is tested and verified both visually and quantitatively using various test data under different statistical measures. The comparative study reveals the efficiency of the model.

show abstract

Section: Introductionmentioning

confidence: 99%

A Retinex-Based Variational Model for Enhancement and Restoration of Low-Contrast Remote-Sensed Images Corrupted by Shot Noise

Febin

Jidesh

Bini

2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

show abstract

“…This technique used spatial distribution of pixel gray levels, i.e., the distribution of spatial locations of gray levels in an image instead of gray-level distribution, to compute the spatial entropy of pixels. Kwak and Park introduced a contrast enhancement technique using multi-local histogram transformations for supervisory systems [13]. Recently, Wang and Chen proposed a novel histogram modi cation scheme, which improved image contrast [14].…”

Section: Introductionmentioning

confidence: 99%

A new image enhancement method considering both dynamic range and color constancy

Hassanpour

Samadiani

2018

Scientia Iranica

View full text Add to dashboard Cite

This paper proposes an approach to improving color images su ering from low dynamic range by employing both histogram matching and histogram stretching techniques. In the rst stage, the color image was transformed from RGB into HSV color space, in which the color information was separated from intensity. Then, an appropriate reference image was selected by comparing component V of the enhanced image with component V of the database images using a similarity measure. The selected image was used as the target image in histogram matching algorithm for enhancement. In the second stage, components V and S were linearly stretched in order to recover the image color information. Finally, using the treated V and S components and untreated component of H, the enhanced image was obtained in RGB color space by inverse transform. The qualitative and quantitative results showed that the contrast and color of the resultant image were greatly improved using the proposed method, which outperformed the current state-of-the-art methods.

show abstract

Evaluation of a Machine Vision System Applied to Quality Control in a Liquid Filling, Lid and Labeling Line for Bottles

Manzano

Bolaños

Muñoz

et al. 2020

Communications in Computer and Information Science

View full text Add to dashboard Cite

Image contrast enhancement for intelligent surveillance systems using multi-local histogram transformation

Cited by 11 publications

References 23 publications

A Retinex-Based Variational Model for Enhancement and Restoration of Low-Contrast Remote-Sensed Images Corrupted by Shot Noise

A Retinex-Based Variational Model for Enhancement and Restoration of Low-Contrast Remote-Sensed Images Corrupted by Shot Noise

A new image enhancement method considering both dynamic range and color constancy

Evaluation of a Machine Vision System Applied to Quality Control in a Liquid Filling, Lid and Labeling Line for Bottles

Contact Info

Product

Resources

About