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Proceedings ArticleDOI

VIMARSHAK -- A Web Based Subjective Image Evaluation System

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TLDR
A secured web based online subjective image evaluation system has been proposed to assess different image processing algorithms and shows a satisfactory result in evaluation of accumulated ensemble of evaluators' votes.
Abstract
In this paper, a secured web based online subjective image evaluation system has been proposed to assess different image processing algorithms. Since many image processing algorithms are designed to enhance the human perception of available image cues, subjective evaluation plays an important role in the assessment of the same. The proposed technique assesses several similar processes by accumulation of votes by individual human evaluators through pair wise comparisons of their outputs. Three tournament strategies are used for the pair wise image comparisons, namely knockout, challenging, and round-robin. The experiments show a satisfactory result in evaluation of accumulated ensemble of evaluators' votes, which is validated using Berkeley boundary detection benchmark dataset.

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References
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Journal ArticleDOI

Image quality assessment: from error visibility to structural similarity

TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Proceedings ArticleDOI

A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

TL;DR: In this paper, the authors present a database containing ground truth segmentations produced by humans for images of a wide variety of natural scenes, and define an error measure which quantifies the consistency between segmentations of differing granularities.
Book

The visible differences predictor: an algorithm for the assessment of image fidelity

Scott Daly
TL;DR: In this paper, an algorithm for determining whether the goal of image fidelity is met as a function of display parameters and viewing conditions is presented, which is intended for the design and analysis of image processing algorithms, imaging systems, and imaging media.
Book

Fractal Image Compression: Theory and Application

TL;DR: Working C code for a fractal encoding/decoding scheme capable of encoding images in a few seconds, decoding at arbitrary resolution, and achieving high compression rations is proposed.
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