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Journal ArticleDOI

Progressive transmission of grey-scale and binary pictures by simple, efficient, and lossless encoding schemes

K. Knowlton
- Vol. 68, Iss: 7, pp 885-896
TLDR
This scheme thus provides some of the benefits of transform encoding but with no truncation error and no need for handling coefficients of various sizes.
Abstract
Efficient, simple, and lossless methods for encoding and transmitting grey-scale and binary (B/W) pictures are described. The methods are such that an initial segment of the transmission permits the receiving device to construct an approximate picture; as transmission proceeds, the receiver progressively constructs better approximations. Some of the low-bandwidth channel usages include telebrowsing -where one wants to abort transmission of unwanted pictures as soon as they are recognized, and teleconferencing-where one wants to receive a gestalt first, followed by the details. In the method for grey-scale pictures, the transmitter first defines a hierarchical structure of picture subdivisions, and assigns, simply by table lookup, approximate average light values to all pairs of cells from the smallest size to that encompassing the entire picture. During tranmission the latter "primary" value is sent, followed by numbers which permit successive cell splitting, thus producing progressively finer picture representations in approximate values, culminating in an exact reconstruction at the pel level. A picture of p pels quantized into b bits each is perfectly reconstructed upon receipt of exactly b × p bits. If the recipient deems an intermediate version satisfactory, then "picture compression" is effectively achieved. This scheme thus provides some of the benefits of transform encoding (Fourier, Hadamard, Hotelling, singular-value decomposition) but with no truncation error and no need for handling coefficients of various sizes. Furthermore, computation varies only linearly with number of pels. The method for binary (B/W) pictures also involves a hierarchical structuring of the picture but with attention paid to picture compression-by declaring subdivisions, at as high a level as possible, to be solid black or solid white (and in need of no further description). Compressions thus achieved are 8:1 in cases where the "blob" coding method of Frank gives 11½:1

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Citations
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Journal ArticleDOI

The Laplacian Pyramid as a Compact Image Code

TL;DR: A technique for image encoding in which local operators of many scales but identical shape serve as the basis functions, which tends to enhance salient image features and is well suited for many image analysis tasks as well as for image compression.
Book

Introduction to data compression

TL;DR: The author explains the development of the Huffman Coding Algorithm and some of the techniques used in its implementation, as well as some of its applications, including Image Compression, which is based on the JBIG standard.
Journal ArticleDOI

The Quadtree and Related Hierarchical Data Structures

TL;DR: L'accentuation est mise sur la representation de donnees dans les applications de traitement d'images, d'infographie, les systemes d'informations geographiques and the robotique.
Proceedings ArticleDOI

Pyramidal parametrics

TL;DR: This paper advances a “pyramidal parametric” prefiltering and sampling geometry which minimizes aliasing effects and assures continuity within and between target images.
Journal ArticleDOI

Advanced television systems for terrestrial broadcasting: Some problems and some proposed solutions

TL;DR: It is concluded that all receivers need not have the same peformance, and that low-cost receivers must be available for noncritical locations in the home and if this variation in price and performance is made possible by appropriate system design, then interoperability is facilitated and nondisruptive improvement over time is made Possible.
References
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Journal ArticleDOI

A Method for the Construction of Minimum-Redundancy Codes

TL;DR: A minimum-redundancy code is one constructed in such a way that the average number of coding digits per message is minimized.
Journal ArticleDOI

Hadamard transform image coding

TL;DR: A high-speed computational algorithm, similar to the fast Fourier transform algorithm, which performs the Hadamard transformation has been developed, which provides a potential toleration to channel errors and the possibility of reduced bandwidth transmission.
Journal ArticleDOI

Predictive coding--I

TL;DR: Part II will give the mathematical criterion for the best predictor for use in the predictive coding of particular messages, will give examples of such messages, and will show that the error term which is transmitted in predictive coding may always be coded efficiently.
Journal ArticleDOI

Image Enhancement by Histogram transformation

TL;DR: In this article, a number of simple and inexpensive enhancement techniques are suggested to make use of easily computed local context, features to aid in the reassignment of each point's gray level during histogram transfomation.
Journal ArticleDOI

The recognition of faces.

Leon D. Harmon
- 01 Nov 1973 - 
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