Abstract
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.
Highlights
The most widely used compression technique for storing color images acquired by high-resolution digital cameras is the Joint Photographic Experts Group (JPEG) image format
This paper presents a detailed account of an improved color image compression scheme that is lossless in the luminance image quality while being lossy only in the chrominance channel representations, which have an insignificant effect on the overall decompression quality as we will show
Experimental results are presented to show the performance of our LqSteg image compression scheme when used to compress a high-resolution image into a luminance image, and regenerate the decompressed high-resolution color image back
Summary
The most widely used compression technique for storing color images acquired by high-resolution digital cameras is the Joint Photographic Experts Group (JPEG) image format. Attempts to remove these blocking artifacts from JPEGcompressed images have been dicussed extensively in the literature [38], [19], [21], [34] These techniques fail to retain the high quality of fine details in the compressed images which is an inevitable consequence of the JPEG compression scheme. The proposed idea is to utilize the space-domain and Fast Fourier Transform (FFT) domain of the high-resolution color image to enhance the compression rate while avoiding the undesirable effects of reduced detail quality and blocking artifacts inherent in other commonly used image compression schemes. Image color-brightness separation is exploited, and in the FFT domain, spectral properties of the Fourier magnitude and phase of the acquired image is exploited Working in both domains concurrently allows us to address both issues of quality and storage size when dealing with high-resolution color image compression.
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