Information quantity in a pixel of digital image
This work addresses a domain-specific problem in digital image processing, but it appears incremental as it builds on existing concepts without broad impact.
The paper tackled the problem of integer-valued estimation of information quantity in a pixel of digital images by proposing a definition based on binary hierarchies of pixel clusters and developing methods for constructing these hierarchies and generating hierarchical image approximations that minimize standard deviation differences. Experimental results showed comparisons with classical formulas, but no concrete numbers were provided.
The paper is devoted to the problem of integer-valued estimating of information quantity in a pixel of digital image. The definition of an integer estimation of information quantity based on constructing of the certain binary hierarchy of pixel clusters is proposed. The methods for constructing hierarchies of clusters and generating of hierarchical sequences of image approximations that minimally differ from the image by a standard deviation are developed. Experimental results on integer-valued estimation of information quantity are compared with the results obtained by utilizing of the classical formulas.