The goals of image steganography are to simultaneously reach maximum embedding capacity, enhanced embedding efficiency, better image quality, and more security. We present a two-step data hiding method that improves image quality, capacity, and embedding efficiency, and also provides stego security. In the first step of the proposed method, the hidden data are encrypted with the key words and shifting method to provide security. In the second stage, we propose adaptive least-significant-bit (LSB)+3 type I and adaptive LSB+3 type II methods to hide encrypted data in the cover image. The image quality of the stego image obtained from the proposed adaptive LSB+3 method is better than the traditional three-bit LSB methods. When maximum data are embedded in the cover image, a peak signal-to-noise ratio (PSNR) greater than 41 dB is reached. Experimental studies show that adaptive LSB+3 type I and adaptive LSB+3 type II methods are higher PSNR values (3.48% and 5.73%) than the standard three-bit LSB substitution methods.

Yapılan çalışmada, ortamda bulunan nesnelerin gerçek zamanlı olarak tespit edilmesi, sınıflandırılması ve elde edilen sonuçlar sunulmaktadır. Önerilen yönteme ait deneysel çalışmaların gerçekleştirilmesinde fındık meyvesi kullanılmaktadır. Çalışma ortamında bulunan fındıklara ait görüntü, kamera ile alındıktan sonra görüntü işleme teknikleri kullanılarak işlenmektedir. Fındıkların görüntü düzlemi üzerinde kapladıkları boyut ve alan verileri hesaplanmaktadır. Elde edilen veriler değerlendirilerek, fındıklar gerçek zamanlı olarak üç sınıfa ayrılmaktadır. Bu işlem ortalama tabanlı sınıflandırma ve K-means kümeleme yöntemleri kullanılarak gerçekleştirilmektedir. Küme merkezlerinin belirlenmesi ve sınıflandırma işlemi fındık meyvesi verilerinden elde edilen bilgi veritabanı kullanılarak sağlanmaktadır. Çalışma ortamında bulunan fındık meyveleri, görüntü işleme teknikleri kullanılarak %100 başarımla tespit edilmektedir. Fındık meyvelerinin, ortalama tabanlı ve K-means kümeleme yöntemleri kullanılarak sınıflandırılması karşılaştırılmıştır. Karşılaştırma sonucunda, gerçeklenen iki yöntemin %90 ila %100 başarım oranında benzeştiği gözlenmiştir.

In this article, a new method is presented by adding bit shift of encrypted data in LSB method (SED-LSB). The message to be embedded in the cover image is encrypted by the key received from the user. Then, secret data are obtained by bit shifting operation using this encrypted text. Finally, the secret data is hidden inside the cover image using the LSB method. SED-LSB is performed by preparing GUI in MATLAB. The quality of the cover image is measured by Peak Signal-to-Noise Ratio (PSNR), besides the similarity between the cover and stego image is determined by the Structural Similarity Index (SSIM). The 512 x 512 size of colored images as Lena, Peppers, Fruits and Baboon are used to hide 87373 byte data. PSNR values are between 51.615 – 51.656 and SSIM values are between 0.99937 – 0.99982. In the proposed method, when data are hidden at a higher capacity, stage image is found not only secure but also high quality.

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.