scholarly journals Peningkatan Kualitas Citra pada Foto Sejarah Menggunakan Metode Histogram Equalization dan Intensity Adjustment

2021 ◽  
Vol 5 (2) ◽  
pp. 36-42
Author(s):  
Siti Fatimatuzzahro ◽  
Risky Via Yuliantari
Keyword(s):  
Histogram Equalization

Foto sejarah merupakan gambar yang berisikan gambaran di masa lampau. Seringkali, foto sejarah yang ada memiliki kualitas citra yang buruk dikarenakan teknologi kamera yang ada di masa lampau masihlah sederhana. Karena keterbatasan teknologi, foto sejarah yang ada hingga saat ini pun berkualitas rendah dengan warna dominan abu-abu. Kondisi ini mengakibatkan informasi yang terkandung terkadang tidak bisa diterima ataupun menyebabkan salah pemahaman. Image enchancement adalah salah satu operasi dari pengolahan citra yang bertujuan untuk meningkatkan citra dengan memanipulasi parameter-parameter citra. Operasi ini banyak diterapkan pada citra yang memiliki kualitas buruk agar kualitasnya dapat meningkat. Pada penelitian ini akan menerapkan operasi image enchancement pada foto sejarah sehingga kualitasnya dapat meningkat. ada banyak metode yang bisa dilakukan pada image enchancement, diantaranya histogram equalization dan intensity adjustment yang sudah banyak digunakan untuk meningkatkan citra khususnya citra greyscale (abu-abu). Kedua metode tersebut biasa dilakukan pada citra dengan menggunakan Aplikasi Matlab karena penggunaannya yang cukup sederhana

Analysis of color Image Enhancement Using DWT, Wavelet Shrinkageand FHE Methods

2017 ◽  
Vol 7 (8) ◽  
pp. 56
Author(s):  
Ashish Dwivedi ◽  
Nirupma Tiwari
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Human Perception ◽  
Histogram Equalization ◽  
Wavelet Shrinkage ◽  
Visual Appearance ◽  
Enhancement Method ◽  
Fuzzy Histogram ◽  
Rgb Image

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.

PENERAPAN METODE CLAHE UNTUK MEMPERJELAS OBJEK PANTULAN KACA PADA CITRA DIGITAL

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Sulharmi Irawan ◽  
Yasir Hasan ◽  
Kennedi Tampubolon
Keyword(s):  
Image Processing ◽  
Computer Graphics ◽  
Digital Image ◽  
Histogram Equalization ◽  
Image Objects ◽  
Adaptive Histogram Equalization ◽  
Image Displays ◽  
Reflection Image

Glass reflection image displays unclear or suboptimal visuals, such as overlapping images that blend with overlapping displays, so objects in images that have information and should be able to be processed for advanced research in the field of image processing or computer graphics do not give the impression so that research can be done. Improvement of overlapping images can be separated by displaying one of the image objects, the method that can be used is the Contras Limited Adaptive Histogram Equalization (CLAHE) method. CLAHE can improve the color and appearance of objects that are not clear on the image. Images that experience cases such as glass reflection images can be increased in contrast values to separate or accentuate one of the objects contained in the image using the Contrast Limited Adaptive Histogram Equalization (CLAHE) method.Keywords: Digital Image, Glass Reflection, Contrast, CLAHE, YIQ.

An Enhancement of Multi Classifiers Voting Method for Mammogram Image based on Image Histogram Equalization

2018 ◽  
Vol 10 (6) ◽  
Author(s):  
Ashraf Osman Ibrahim ◽  
◽  
Ali Ahmed ◽  
Anik Hanifatul Azizah ◽  
Saima Anwar Lashar ◽  
...  
Keyword(s):  
Histogram Equalization ◽  
Image Histogram ◽  
Mammogram Image ◽  
Voting Method

Image Quality Enhancing by Efficient Histogram Equalization

2014 ◽  
Vol 2 (2) ◽  
pp. 47-58
Author(s):  
Ismail Sh. Baqer
Keyword(s):  
Image Quality ◽  
Contrast Enhancement ◽  
Mean Squared Error ◽  
Signal To Noise Ratio ◽  
Histogram Equalization ◽  
Gray Level ◽  
Signal To Noise ◽  
Squared Error ◽  
Noise Ratio

A two Level Image Quality enhancement is proposed in this paper. In the first level, Dualistic Sub-Image Histogram Equalization DSIHE method decomposes the original image into two sub-images based on median of original images. The second level deals with spikes shaped noise that may appear in the image after processing. We presents three methods of image enhancement GHE, LHE and proposed DSIHE that improve the visual quality of images. A comparative calculations is being carried out on above mentioned techniques to examine objective and subjective image quality parameters e.g. Peak Signal-to-Noise Ratio PSNR values, entropy H and mean squared error MSE to measure the quality of gray scale enhanced images. For handling gray-level images, convenient Histogram Equalization methods e.g. GHE and LHE tend to change the mean brightness of an image to middle level of the gray-level range limiting their appropriateness for contrast enhancement in consumer electronics such as TV monitors. The DSIHE methods seem to overcome this disadvantage as they tend to preserve both, the brightness and contrast enhancement. Experimental results show that the proposed technique gives better results in terms of Discrete Entropy, Signal to Noise ratio and Mean Squared Error values than the Global and Local histogram-based equalization methods

scholarly journals Design and Implementation of Brightness Configurable Bi-Histogram Equalization Based on FPGA

2021 ◽  
Vol 693 (1) ◽  
pp. 012087
Author(s):  
Zhaolin Wang ◽  
Hongju Yue ◽  
Jun Wang ◽  
Huibin Tao ◽  
Li Wang
Keyword(s):  
Histogram Equalization ◽  
Design And Implementation
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