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.

Mapping-free high dynamic range image compression

Abstract: High Dynamic Range (HDR) image compression is mostly concerned on lossless coding strategies. Conventional HDR compression schemes usually require mapping of HDR into the low dynamic range (LDR) images, so that conventional image coders, such as JPEG and JPEG2000 can be applied. This paper proposes a low complex approach to compress RGBE and OpenEXR HDR content without using any mapping step or modification of the existing JPEG and JPEG2000 codecs. The experimental results indicate that the proposed method can be used in further compressing the lossless RGBE and OpenEXR HDR formats. The overall rate-distortion performance of the proposed method is comparable to the two state of the art approaches, yet with low complexity due to the exclusion of integer to floating-points conversion and tone-mapping.

Digital watermarking for image using FELICS algorithm in VLSI implementation

Abstract: This paper presents a hardware implementation of a digital watermarking system that can insert invisible and visible watermark information into compressed image streams in real time application. A Watermarking technique is a process of embedding information in multimedia contents to prove identification and authentication. This technology embeds a data, an imperceptible digital code, namely the watermark, which carry information about the copyright status of the work to be protected. Continuous efforts are being made to device an efficient watermarking schema but the techniques discrete cosine transform domain proposed so far do not seem to be robust to all possible attacks and multimedia data processing operations. A new watermarking and Fast Efficient Lossless JPEG Image Compression scheme is proposed to optimize security, copyright, authentication and compression rate when watermarks are embedded into JPEG 2000 compressed images.

Optimizing JPEG XR tile structure for fast local access

Abstract: Compressed digital image technology is fundamental to a variety of consumer electronics applications. Coded images are often accessed in part rather than in whole, by accessing spatial regions of interest (ROIs). In many application architectures, the decoding process to access each ROI may occur separately - even when there are multiple such ROIs to be accessed within the same image. Moreover, some image coding schemes, such as JPEG XR and JPEG 2000, include some form of support for structuring the coded image data into distinct regions that can be referred to as tiles. The performance associated with decoding an ROI depends heavily on how the image is tiled. This paper provides information about the effects of image tile structuring on ROI access in the JPEG XR image coding context. Some guidelines are provided regarding how an image should be tiled to enable fast local access by aligning the ROI access with the tile structure to minimize decoding resource overhead.

Improved lossless compression of general data

Abstract: New algorithms for lossless compression of general data are presented. They are based on adaptive lossless data compression (ALDC) but offer improved compression, typically 24% better for image data. The algorithms are simple to implement and are capable of high data throughput, whilst maintaining compatibility with legacy ALDC bit streams.

Efficient Secured Lossless Coding of Medical Images - Using Modified Runlength Coding for Character Representation.

Abstract: Lossless compression schemes with secure transmission play a key role in telemedicine applications that helps in accurate diagnosis and research. Traditional cryptographic algorithms for data security are not fast enough to process vast amount of data. Hence a novel Secured lossless compression approach proposed in this paper is based on reversible integer wavelet transform, EZW algorithm, new modified runlength coding for character representation and selective bit scrambling. The use of the lifting scheme allows generating truly lossless integer-to-integer wavelet transforms. Images are compressed/decompressed by well-known EZW algorithm. The proposed modified runlength coding greatly improves the compression performance and also increases the security level. This work employs scrambling method which is fast, simple to implement and it provides security. Lossless compression ratios and distortion performance of this proposed method are found to be better than other lossless techniques. Keywords—EZW algorithm, lifting scheme, lossless compression, reversible integer wavelet transform, secure transmission, selective bit scrambling, modified runlength coding .