Perbaikan Citra Menggunakan Metode Contrast Stretching

Supiyanto, Supiyanto; Suparwati, Titik

doi:10.23960/jsm.v2i1.2743

Cited by 4 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In 2021 [30], researchers created an algorithm known as the Hill matrix. An image was used as input to accomplish file-based encryption, during which the file was encrypted and the colors were determined.…”

Section: Related Workmentioning

confidence: 99%

Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks

Zahra,

Nadeem,

Arshad

et al. 2024

Symmetry

View full text Add to dashboard Cite

Researchers have created cryptography algorithms that encrypt data using a public or private key to secure it from intruders. It is insufficient to protect the data by using such a key. No research article has identified an algorithm capable of protecting both the data and the associated key, nor has any mechanism been developed to determine whether access to the data is permissible or impermissible based on the authentication of the key. This paper presents a WEDEx-Kerberotic Framework for data protection, in which a user-defined key is firstly converted to a cipher key using the “Secure Words on Joining Key (SWJK)” algorithm. Subsequently, a WEDEx-Kerberotic encryption mechanism is created to protect the data by encrypting it with the cipher key. The first reason for making the WEDEx-Kerberotic Framework is to convert the user-defined key into a key that has nothing to do with the original key, and the length of the cipher key is much shorter than the original key. The second reason is that each ciphertext and key value are interlinked. When an intruder utilizes the snatching mechanism to obtain data, the attacker obtains data or a key unrelated to the original data. No matter how efficient the algorithm is, an attacker cannot access the data when these methods and algorithms are used to protect it. Finally, the proposed algorithm is compared to the previous approaches to determine the uniqueness of the algorithm and assess its superiority to the previous algorithms.

show abstract

Section: Related Workmentioning

confidence: 99%

Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks

Zahra,

Nadeem,

Arshad

et al. 2024

Symmetry

View full text Add to dashboard Cite

show abstract

“…Pengolahan citra mentransformasi citra yang asalnya kurang baik menjadi citra keluaran yang lebih baik. Beberapa pengolahan citra yang dilakukan adalah: (1) peregangan kontras (contrast stretching) [15], yang bertujuan agar intensitas cahaya pada citra tersebar merata dari 0-255, sehingga citra tampak lebih baik dan objek tampak lebih jelas. (2) Segmentasi citra yang bertujuan untuk mendeteksi objek atau foreground dari background, menggunakan pendekatan background subtraction, Teknik yang digunakan adalah pengurangan piksel (pixel subtraction) [16] [17].…”

Section: Praprosesunclassified

Identification of Barangan Banana Ripeness Treatment Types using k-Nearest Neighbor

Abdullah

Azrian²

2022

SISTEMASI

View full text Add to dashboard Cite

Buah pisang diminati oleh masyarakat dikarenakan buah pisang kaya akan nutrisi yang memang diperlukan oleh tubuh kita. Salah satu buah pisang yang diminati masyarakat adalah pisang jenis barangan. Barangan yang dijual di pasar memiliki berbagai jenis kematangan yang berbeda-beda berdasarkan perlakuannya. Tujuan penelitian ini adalah melakukan identifikasi terhadap jenis perlakuan kematangan barangan. Identifikasi dilakukan berdasarkan analisa terhadap citra pisang barangan dengan menggunakan fitur warna dan tekstur. Dalam melakukan identifikasi digunakan metode K-Nearest Neighbor (k-NN). k-NN membandingkan kemiripan antara data yang belum diketahui dengan data sampel. Nilai k yang digunakan pada penelitian ini adalah k=1, k=3, dan k=5. Pengukuran kemiripan menggunakan Euclidean Distance, yang merupakan jarak antara 2 vektor fitur. Pengujian klasifikasi menggunakan metode Holdout, dimana persentase jumlah data sampel dan data uji adalah 66,67 % data latih dan 33,33 % data uji. Akurasi yang diperoleh pada k=1 sebesar 86,67 %, pada k=3 sebesar 76,67 %, dan pada k=5 sebesar 80%. Akurasi terbaik untuk identifikasi jenis perlakuan kematangan pisang barangan menggunakan metode k-Nearest Neighbor didapat pada k=1 dengan akurasi mencapai 86,67 %.

show abstract

“…Histogram equalization, a method used to equalize the histogram distribution of an image, effectively improves image contrast and clarity by correcting uneven lighting. Contrast stretching [6] is another technique that extends the range of brightness and contrast in an image, giving the image a more dynamic appearance. Furthermore, the Multiscale Retinex technique aims to improve clarity and color in images by considering the effects of locally uneven lighting.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Image Improvement and Edge Identification Methods in Watermelon Image

Sudiarjo,

Praseptiawan,

Setyoningrum

et al. 2024

iiroi

View full text Add to dashboard Cite

The initial stage in digital image processing, known as pre-processing, plays a vital role in enhancing image quality. This essential step involves employing various techniques to prepare the image for subsequent analysis and feature extraction. Among the array of pre-processing methodologies utilized, thresholding, median averaging, median filtering, rapid Fourier transform, point operations, intensity modification, and histogram equalization stand out as prominent tools. These techniques are employed to mitigate noise, enhance contrast, and optimize the overall visual quality of the image. Once the pre-processing phase is complete, the focus often shifts to specific tasks, such as identifying objects or features within the image. In the context of analyzing watermelon images, one such task is the detection of watermelon seeds. To accomplish this, the pre-processed image undergoes further refinement through the application of edge detection techniques. Gradient edge detection, isotropic, Canny, and Sobel edge detection are among the methods commonly employed for this purpose. These techniques aim to highlight the edges and contours of objects within the image, facilitating the identification of distinct features such as watermelon seeds. However, our investigation reveals that not all edge detection methods are equally effective in this context. By employing a combination of pre-processing techniques and judiciously selecting edge detection methods, researchers can enhance the accuracy and reliability of their image processing workflows, ultimately advancing our understanding of complex biological structures such as watermelon seeds.

show abstract

Perbaikan Citra Menggunakan Metode Contrast Stretching

Cited by 4 publications

References 3 publications

Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks

Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks

Identification of Barangan Banana Ripeness Treatment Types using k-Nearest Neighbor

Analysis of Image Improvement and Edge Identification Methods in Watermelon Image

Contact Info

Product

Resources

About