In this paper, we discuss the performance of a progressive quality image transmission scheme using Unequal Error Protection (UEP) optimized LDPC codes. We show that the irregularity of LDPC codes can be optimized to provide more protection to the most sensitive bits within a codeword. Applying this in a quality progressive image transmission context, the designed code improves performance compa...

Progressive image transmission allows an approximate image to be built quickly and the details to be transmitted progressively through several stages over the channel. This technique appears very useful for picture communication over slow channels. This thesis proposes to use linear quadtree encoding combined with wavelet based technique as well as other methods to achieve a hybrid coding progr...

This paper presents a method to apply progressive transmission to line drawings using the wavelet transform. Experiments have been conducted and showed that the wavelet transform, combined with a quantization step, performs progressive transmission using a data rate comparable to standard chain coding at the expense of almost no visually perceptible distortion.

We propose the reversible data hiding algorithm for progressive image transmission in this paper. With the alteration of difference values between original and predicted images, reversible data hiding can be applicable to progressive image transmission. For assessing parameters including the reversibility, embedding capacity, and image quality, with our algorithm, we observe the generally bette...

A progressive compression and transmission algorithm for PointTexture 3-D images is proposed in this work. The proposed algorithm represents a PointTexture image hierarchically using an octree. The geometry information in octree nodes is encoded by the predictive partial matching (PPM) method, while the color information is encoded using the discrete cosine transform (DCT). The encoder achieves...

We consider the scenario of inference at wireless edge, in which devices are connected to an edge server and ask carry out remote classification, that is, classify data samples available devices. This requires upload high-dimensional features over resource-constrained channels, creates a communication bottleneck. The conventional feature pruning solution would require device have access model, ...