In this paper a wavelet-based logo watermarking scheme is presented. The logo watermark is embedded into all sub-blocks of the LLn sub-band of the transformed host image, using quantization technique. Extracted logos from all sub-blocks are merged to make the extracted watermark from distorted watermarked image. Knowing the quantization step-size, dimensions of logo and the level of wavelet tra...

In spatio-temporal wavelet video coding with motion compensation (MC), motion-compensated temporal filtering (MCTF) using wavelet filters is combined with spatial wavelet decomposition, allowing for efficient spatio-temporal decorrelation and full scalability. As an extension to conventional MCTF, we introduce spatial lowpass transition filtering (SLTF) leading to an improved lower frame rate q...

A video coder is presented that combines mesh-based motion-compensated temporal filtering, phase-diversity multihypothesis motion compensation, and an embedded 3D wavelet-coefficient coder. The key contribution of this work is the introduction of the phasediversity multihypothesis paradigm into motion-compensated temporal filtering, which is achieved by deploying temporal filtering in the domai...

Spectral parameter filtering such as RASTA [5], RASTA-like bandpass filtering and high-pass filtering operates on temporal dynamics of spectral parameters, and has been effective method to reduce channel distortions. Temporal derivatives (delta and delta-delta coefficients, that have proved as robust representation) and spectral mean normalization [4] are also equivalent to filtering that rejec...

This paper presents a new framework for adaptive temporal filtering in wavelet interframe codecs, called the unconstrained motion compensated temporal filtering (UMCTF). This framework allows flexible and efficient temporal filtering by combining the best features of motion compensation, used in predictive coding, with the advantages of interframe scalable wavelet video coding schemes. UMCTF pr...

Low level data processing functions, like FIR filtering, pattern recognition or correlation, where the parallel implementation is supported by architecture matched special purpose arithmetic; high throughput FPGA circuits easily outperform even the most advanced DSP processors. In this paper investigates a high-speed nonlinear Adaptive median filter implementation is presented. Then Adaptive Me...

The forensic detection of median filtering has recently attracted the attention of the research community, mainly because of the median filtering potential uses for tampering and concealing image tampering traces in digital images. In this paper, we propose multi-scale and multi-perturbation solutions that build a highly discriminative feature space, which highlights the artifacts of median fil...

In view of the images polluted by mixed noise in actual image processing, in this paper, the hybrid filter algorithm combined by median filtering and wavelet transform is generalized to two-dimensional fractional wavelet domain, verified the effectiveness and advantages of hybrid filtering algorithm combined by median filtering and two-dimensional fractional wavelet transform. And put forward a...

Spatio-temporal analyses of yield variability are required to delineate areas of stable yield patterns for application of precision farming techniques. Spatial structure and temporal stability patterns were studied using 19951997 yield data for a 25-ha field located near Story City, Iowa. Corn was grown during 1995-1996, and soybean in 1997. The yield data were collected on nine east-west trans...

A novel segmentation-assisted method for film dirt detection is proposed. Since dirt manifests as a cluster of pixels whose intensity differs from that of its neighbourhood, we employ segmentation and assume that each small region as a dirt candidate. The assumption is validated by considering raw (non-motion compensated) differences between the current frame and each of the previous and next f...