A New Method for Estimating the Widths of JPEG Images

TL;DR

This paper introduces a novel technique to estimate the widths of JPEG images by analyzing the Euclidean distance between adjacent MCUs, demonstrating high accuracy on standard datasets.

Contribution

The paper presents a new method for JPEG width estimation based on MCU distance analysis, filling a gap in image understanding when width metadata is missing.

Findings

High accuracy on PASCAL VOC 2010 dataset

Effective on USC-SIPI image database

Outperforms existing width estimation methods

Abstract

Image width is important for image understanding. We propose a novel method to estimate widths for JPEG images when their widths are not available. The key idea is that the distance between two decoded MCUs (Minimum Coded Unit) adjacent in the vertical direction is usually small, which is measured by the average Euclidean distance between the pixels from the bottom row of the top MCU and the top row of the bottom MCU. On PASCAL VOC 2010 challenge dataset and USC-SIPI image database, experimental results show the high performance of the proposed approach.