Lossless Quality Steganographic Color Image Compression

نویسنده

  • Tamer Rabie
چکیده

This paper develops a steganography-based paradigm for lossless-quality compression of high-resolution color images acquired by megapixel cameras. Our scheme combines space-domain and frequency-domain image processing operations where in the space domain, color-brightness separation is exploited, and in the frequency domain, spectral properties of the Fourier magnitude and phase of the color image is exploited. Working in both domains concurrently allows for an approach to ultrahigh-resolution image compression that addresses both issues of quality and storage size. Experimental results as well as empirical observations show that our technique exceeds the highest quality JPEG image compression standard in terms of compression rates while being very competitive with JPEG in the overall fidelity of the decompressed image, with the added advantage of being able to recover the original fine details in the color image without any degradations common in lossy image compression techniques. Keywords—Lossless Quality Compression; Steganography; Color Image Compression; Lab color space; RGB color space, Frequency Domain Data Hiding

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

فشرده‌سازی تصویر با کمک حذف و کدگذاری هوشمندانه اطلاعات تصویر و بازسازی آن با استفاده از الگوریتم های ترمیم تصویر

Compression can be done by lossy or lossless methods. The lossy methods have been used more widely than the lossless compression. Although, many methods for image compression have been proposed yet, the methods using intelligent skipping proper to the visual models has not been considered in the literature. Image inpainting refers to the application of sophisticated algorithms to replace lost o...

متن کامل

A Robust Image Steganography using CDF Lifting Scheme and Huffman Encoding

In the modern era, concerns about safeguarding the information from attacks are on rise. Here, 2-d lifting wavelet decomposition of a grayscale cover image through Cohen, Daubechies and Feauveau (2,2) lifting wavelet is performed and three secret images are shuffled and embedded in detail coefficients of the transform using approximation coefficients as indicator. Here, a novel Approximate Coef...

متن کامل

Analysis of Efficiently Lossless Compression of Color Image by using Deferent Algorithms

Digital Color Image required large amount of space to store and large bandwidth to transmit it. Due to limitations in bandwidth and in storage space, it is vital requirement to compresses digital color image. Color image compression is required with negligible loss in image quality for the effective use of further restored image. To meet this, numerous image compression techniques are developed...

متن کامل

Very High Quality Compression of Color and Gray Scale Images: Techniques and Applications

| This paper presents an overview of the current state of the art in lossless and quasi-lossless image coding research. Emphasis is put on two important application areas, in which high quality coding is essential: medical imaging and the pre-press industry. The paper brieey discusses the basic principles of the most important techniques and compares these techniques from the point of view of c...

متن کامل

An Efficient Super Resolution Technique for Loss Less Compressed Bayer Colour Filter Array Images

In digital cameras, Bayer color filter array(CFA) images are captured and demosaicing is carried out before compression. Recently, it was found that compression-first schemes outperform the conventional demosaicing-first schemes in terms of output image quality. An efficient prediction-based lossless compression and super-resolution schemes are proposed in this paper. Compressed image is coded ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015