-------------------------------------------------------------------ABSTRACT------------------------------------------------------------This paper focuses on improving the Image compression ratio and having 100% quality factor. The major emphasis has been on Arithmetic Coding, its principle has been applied to get the wanted results i.e. higher compression ratio than JPEG on an average quality f...

10.24132/CSRN.2021.3101.1

Many studies have been conducted in addressing problem of fragmented JPEG. However, carving fragmented JPEG files are not easy to solve due to the complexity of determining the fragmentation point. In this article, X_myKarvee framework is introduced to address the fragmentation issues that occur in JPEG images. X_myKarve introduce a new technique, deletion by binary search to detect fragmentati...

The basic idea behind this paper is the efficient JPEG image compression using quantization noise analysis. Based on the analysis of noises in multiple-cycle JPEG compression, we define a quantity called forward quantization noise. We analytically derive that a decompressed JPEG image has a lower variance of forward quantization noise than its uncompressed counterpart. Image compression is mini...

Current image re-sampling detectors can reliably detect re-sampling in JPEG images only up to a Quality Factor (QF) of 95 or higher. At lower QFs, periodic JPEG blocking artifacts interfere with periodic patterns of re-sampling. We add a controlled amount of noise to the image before the re-sampling detection step. Adding noise suppresses the JPEG artifacts while the periodic patterns due to re...

State-of-the-art JPEG steganographic algorithms, such as J-UNIWARD, are currently better detected in the spatial domain rather than the JPEG domain. Rich models built from pixel residuals seem to better capture the impact of embedding than features constructed as co-occurrences of quantized JPEG coefficients. However, when steganalyzing JPEG steganographic algorithms in the spatial domain, the ...