Lossless JPEG

About: Lossless JPEG is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 51110 citations. The topic is also known as: Lossless JPEG & .jls.

A NeZJPEG Resistant Color Image WatermarkiQg Algorithm Based on Quantization Index0odulation

Abstract: A new color image watermarking algorithm with resistance to JPEG lossy compression based on Quantization Index Modulation (QIM) is proposed in this paper. As it is known, QIM method can achieve a good balance between the embedding bit rate, robustness and distortion between the original image and the composited image by modulating the source signal into different clusters. The corresponding DCT coefficients margins of any two color channels selected from the three as the source signal is substantiated could achieve a high level embedding robustness and a low level distortion in this paper. However, JPEG lossy compression could bring a destructive influence to the watermark since it discards pretty much image information. In this paper, a compensation function is designed to correct the errors caused by JPEG compression. Experiments show the algorithm proposed has a good performance to resist the high compression ratio JPEG lossy compression and other attacks. much image information, and the intensity of watermark damage increases while the compression ratio increases. A new JPEG resistant watermarking algorithm for color image based on quantization index modulation is introduced in this paper for above analysis. The new algorithm embedded watermark-bits into the margins of the corresponding DCT coefficients selected from any two of the three color channels, other than single channel, so that the energy of the watermark can distribute evenly into different color channels and it induces less embedding distortion. Else, In order to add the algorithm with the resistance to JPEG lossy compression of high compression ratio, a compensation function is designed to correct the watermark bit errors caused by compression. Experiments substantiate the practicability as well as the resistance to high compression ratio JPEG and other common attacks of this algorithm.

JPEG-compliant image coding with adaptive pre-/post-filtering

Abstract: In this paper we propose an image coding scheme with adaptive pre-/post-filtering which produces a fully compliant JPEG bitstream. The basic idea is to introduce pre-filtering to improve the coding performance and post-filtering to reduce JPEG blocking artifacts. The adaptivity of the pre-/post-filters is achieved by varying their filter supports based on two criteria: rate-distortion optimization (RD-opt) and over-/under-flow. Experiments show that despite keeping intact JPEG baseline coding, our proposed coding scheme with these two criteria can improve not only the objective quality (0.3-1.5 dB PSNR gain), but also yield superior visual quality by preserving edge details and mitigating blocking artifacts. Our proposed algorithm is competitive with state-of-the-art deblocking algorithms.

Performance and Analysis of Fuzzy based Compression of JPEG Images

Abstract: In image processing, effective storage of images is very important. The rapid growth in technology demands fast and efficient processing, transmission and storage of data. Images took very large space for storage. So, image compression is one of the extremely crucial portion in reaching the desire of efficient information handling and storage. These programs need quick image handling both at the front and back end. So, one of the main part of keeping and retrieving photographs may be efficient pressure of images. Images should be stored in compressed form and compression should not decrease the quality of the images. However, this area is still open for research purpose. Moreover, increase in variety of images over the internet demand the use of fuzzy based compression techniques, guided image filter and canny edge detector is used for compressing the JPEG images. It provides high level of compression and reduced level of errors in the images. Proposed technique also reduced different types of artifacts such as ringing artifacts, blocking artifacts. Blocking artifacts can be reduce by using the post processing to compressed image like filtering.

A Scrambling Method for JPEG Coded Images Enabling Image Retrieval from Scrambled Images

Abstract: This paper proposes a scrambling method for JPEG coded images and an image retrieval method for scrambled JPEG images. The proposed scrambling and retrieval methods utilizes the positive and negative sign of discrete cosine transformed coefficients. The proposed method scrambles a JPEG coded image without decoding the JPEG codestream. Moreover, this proposed method never changes the coding efficiency by scrambling. The proposed retrieval method compares a query image and scrambled images without descrambling and without decoding. This method is able to retrieve the same image as the query image but with the different compression ratio. Simulation results show the effectiveness of the proposed method.