We undertake a study of the performance difference of different transform coding techniques i.e. block truncation coding (BTC), wavelet, embedded zerotree transform and fractal image compression. This paper focuses important features of transform coding in compression of still images, including the extent to which the quality of image is degraded by the process of compression and decompression....

Different coding standards for image and video are already in existence such as JPEG for still image and MPEG for video coding. Both the standards utilize block based DCT (discrete cosine transform) technique to remove redundancy. But the problem with DCT approach is that at high compression the decoded image or video suffers from blocking artifacts. To avoid this problem, wavelet transformatio...

Wavelets intrinsically give us the capability of localized signal decomposition and analysis in space and frequency. However, the popular Fast Wavelet Transform (FWT) that is typically used as an “off the shelf” component in most wavelet based compression algorithms like the Embedded Zerotree (EZW), organizes the intermediate coefficients only by frequency, and not by space. We present the Recu...

The growth of networked multimedia systems has complicated copyright enforcement relative to digital images. One way to protect the copyright of digital images is to add an invisible structure to the image (known as a digital watermark) to identify the owner. In particular, it is important for Internet and image database applications that as much of the watermark as possible remain in the image...

This paper addresses the most relevant aspects of lossy image coding techniques, and presents an evaluation study on this subject, using several transforms and different methods in the transform domain. We developed different transform based image coders/decoders (codecs) using different transforms, such as the discrete cosine transform, the discrete wavelet transform and the S transform. Besid...

This paper presents a novel digital watermarking framework using electrocardiograph (ECG) and demographic text data as double watermarks. It protects patient medical information and prevents mismatching diagnostic information. The watermarks are embedded in selected texture regions of a PET image using multi-resolution wavelet decomposition. Experimental results show that modifications in these...

The growth of networked multimedia systems has complicated copyright enforcement relative to digital images. One way to protect the copyright of digital images is to add an invisible structure to the image (known as a digital watermark) to identify the owner. In particular, it is important for Internet and image database applications that as much of the watermark as possible remain in the image...

Denoising and compression is the best crucial technique to overcome this issue. SPHIT is mostly refined type of the algorithm of EZW and it is better algorithms for image compression that makes a set of bit stream from which we can get best renovate images. Through these algorithms, the values of highest PSNR of different type of images compression ration can be acquired. The denoised image per...

Standard fractal image compression, proposed by Jacquin[1], is based on IFS (Iterated Function Systems) defined in R. This modelization implies restrictions in the set of images being able to be compressed. These images have to be self similar in R. We propose a new model, the projected IFS, to approximate and code grey level images. This model has the ability to define affine IFS in a high dim...

The growth of networked multimedia systems has complicated copyright enforcement relative to digital images. One way to protect the copyright of digital images is to add an invisible structure to the image (known as a digital watermark) to identify the owner. In particular, it is important for Internet and image database applications that as much of the watermark as possible remain in the image...