scholarly journals Weight‐based colour constancy using contrast stretching

2021 ◽  
Author(s):  
Zeinab Abedini ◽  
Mansour Jamzad
Keyword(s):  
Colour Constancy ◽  
Contrast Stretching

PERBANDINGAN METODE HOMOMORPHIC FILTERING DAN METODE CONTRAST STRECHING UNTUK PERBAIKAN KUALITAS CITRA UNDERWATER

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Adi Mora Lubis ◽  
Nelly Astuti Hasibuan ◽  
Imam Saputra
Keyword(s):  
Digital Image ◽  
Water Environment ◽  
Repair Process ◽  
Image Process ◽  
Two Dimensional ◽  
Two Dimensional Image ◽  
Underwater Image ◽  
Homomorphic Filtering ◽  
Contrast Stretching

Digital imagery is a two-dimensional image process through a digital computer that is used to manipulate and modify images in various ways. Photos are examples of two-dimensional images that can be processed easily. Each photo in the form of a digital image can be processed through a specific software. In the water environment, the light factor greatly influences the results of the quality of the image obtained. With the deepening of underwater shooting, the results obtained will be the darker the quality of the underwater image. . uneven lighting and bluish tones. One of the factors that influence the recognition results in pattern recognition is the quality of the image that is inputted. The image acquired from the source does not always have good quality. The process of repairing digital images that experience interference in lighting. The lighting repair process uses homomorphic filtering and uses contrast striching and will compare the quality of both methods and test to prove the results of image quality between homomorphic filtering and contrast streching. Until later the results of both methods can be seen which is better. homomorphic filtering and contrast stretching can produce image improvements with pretty good performance.Keywords: Digital Image, Underwater Image, Homomorphic Filtering, Contrast Streching, Matlab R2010a

Colour constancy and conscious perception of changes of illuminant

2008 ◽  
Vol 46 (3) ◽  
pp. 853-863 ◽  
Author(s):  
John L. Barbur ◽  
Karoline Spang
Keyword(s):  
Conscious Perception ◽  
Colour Constancy

Enhancement Techniques for Ultrasonic Nondestructive Evaluation of Composite Materials

1990 ◽  
Vol 112 (2) ◽  
pp. 175-182 ◽  
Author(s):  
S. C. Wooh ◽  
I. M. Daniel
Keyword(s):  
Composite Materials ◽  
Impact Damage ◽  
Histogram Equalization ◽  
Matrix Cracking ◽  
Computer Data ◽  
Thermally Induced ◽  
Extraneous Noise ◽  
Suitable Combination ◽  
Contrast Stretching ◽  
Boundary Characteristics

Conventional ultrasonic C-scanning sometimes produces distorted and degraded images due to a variety of reasons, including surface roughness, beam dispersion, extraneous noise and imperfect fidelity of the total acquisition system. Enhancement techniques, using computer data acquisition and processing, can be used to enhance and restore the image. Enhancement techniques described include contrast stretching and median filtering, histogram equalization, thresholding, dynamic thresholding, thresholding depending on boundary characteristics, one-dimensional segmentation and intensity scans with hidden line removal. These enhancement techniques were applied and illustrated for five different types of damage in graphite/epoxy composite materials: (1) Embedded film patch in quasi-isotropic laminate; (2) impact damage in quasi-isotropic laminate; (3) matrix cracking due to static loading of crossply laminate; (4) fatigue damage in crossply laminate; and (5) thermally induced cracks in a thick crossply laminate. There is no single technique that is optimum in all cases. A suitable combination of techniques must be selected for optimum image quality.

scholarly journals Anfis to Detect Brain Tumor Using MRI

2018 ◽  
Vol 7 (3.27) ◽  
pp. 209
Author(s):  
Susmita Mishra ◽  
M Prakash ◽  
A Hafsa ◽  
G Anchana
Keyword(s):  
Fuzzy Logic ◽  
Brain Tumor ◽  
Graphical Representation ◽  
Fuzzy Inference ◽  
Early Stage ◽  
Histogram Equalization ◽  
Input Image ◽  
Inference System ◽  
Magnetic Resonance Imaging Mri ◽  
Contrast Stretching

Processing of Magnetic Resonance Imaging(MRI) is one of the widely known best techniques to diagnose brain tumor since it gives better results than ultrasound or X-Ray images. The main objective is to diagnose the presence and extraction of brain tumor using MRI images. Image preprocessing includes contrast stretching, noise filtering and Adaptive Histogram Equalization(AHE). AHE gives a graphical representation of digital image without enhancing above the desired level. The next stage involves transferring the redundant information in input image to reduced set of features is called feature selection and is done by color, shape or texture of an image. Image is segmented using incorporation of Artificial Neural Networks(ANN) and Fuzzy logic called Adaptive Neuro-Fuzzy Inference System(ANFIS) wherein we get the desired output to differentiate tumor affected and normal image with its severity level. Since we deal with uncertainty much more, fuzzy logic serves as a vibrant tool in representing human knowledge as IF-THEN rules. MATLAB has been implemented in detection and extraction of tumor at an early stage. 

scholarly journals Robust colour constancy in red-green dichromats

PLoS ONE ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. e0180310 ◽  
Author(s):  
Leticia Álvaro ◽  
João M. M. Linhares ◽  
Humberto Moreira ◽  
Julio Lillo ◽  
Sérgio M. C. Nascimento
Keyword(s):  
Colour Constancy

scholarly journals Peningkatan Kualitas Citra pada Citra Digital Gelap

2020 ◽  
Vol 4 (2) ◽  
pp. 136-144
Author(s):  
Faisal Dharma Adhinata ◽  
Ariq Cahya Wardhana ◽  
Diovianto Putra Rakhmadani ◽  
Akhmad Jayadi
Keyword(s):  
Histogram Equalization ◽  
Log Transformation ◽  
Bit Plane ◽  
Contrast Stretching

Salah satu tahap utama dalam pemrosesan citra digital adalah peningkatan kualitas citra. Citra yang berwarna gelap tidak terlihat detail informasi yang terkandung pada citra. Bahkan objek yang tampak pada citra bisa tidak terlihat karena pengambilan citra dilakukan pada pencahayaan kurang. Citra gelap perlu dilakukan peningkatan kualitas citra supaya detail informasi citra dapat terlihat secara visual. Beberapa algoritma peningkatan kualitas citra digital diantaranya negative transformation, log transformation, contrast stretching, bit plane slice, dan histogram equalization. Pada penelitian ini akan dikaji beberapa algoritma peningkatan kualitas citra untuk melihat hasil terbaik dari kasus citra gelap. Berdasarkan hasil percobaan, diperoleh hasil terbaik menggunakan algoritma histogram equalization. Algoritma histogram equalization menghasilkan histogram citra yang tersebar rata sehingga detail informasi citra dapat dilihat secara visual.

Research on Correction Algorithm for Print-Scan Resistant Digital Watermarking Algorithms Based on DWT

2012 ◽  
Vol 262 ◽  
pp. 172-176
Author(s):  
Zhen Jie Zhang ◽  
Zhen Liu ◽  
Hui Yu
Keyword(s):  
Frequency Domain ◽  
Digital Watermarking ◽  
High Amplitude ◽  
Correction Coefficient ◽  
Correction Algorithm ◽  
Before And After ◽  
Kolmogorov Smirnov ◽  
Contrast Stretching ◽  
Smirnov Test

On the basis of the analysis of the second layer of DWT high amplitude coefficients before and after printing and scanning, we propose a correction algorithm for Print-scan resistant Digital Watermarking Algorithms Based on DWT. This correction algorithm corrects in the frequency domain, multiplying the coefficients by a correction coefficient and determining the best correction coefficient by Kolmogorov-Smirnov test. Contrast with two common methods to correct the distorted pixels: brightness transformation and contrast stretching transformation, this correction algorithm has the character of less calculation and takes the influence of print and scan on the surrounding pixels into account. At last, after applying it to several test images and all the NC values becoming bigger, the proposed correction algorithm is proved to be effective and universal.

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