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Seam carving image resizing technique detailed in new C++ implementation

A new paper details a C++ implementation of seam carving, a content-aware image resizing technique. The implementation follows the original formulation by Avidan and Shamir, incorporating a forward-energy criterion from Rubinstein, Shamir, and Avidan. It supports various resizing operations, including enlargement and object protection via weight masks, and provides detailed algorithmic analysis. AI

IMPACT Provides a detailed implementation and analysis of a classical image manipulation technique, potentially useful for AI-driven image processing pipelines.

RANK_REASON The cluster describes a research paper detailing an implementation of an image processing algorithm.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Seam carving image resizing technique detailed in new C++ implementation

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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    An Analysis and Implementation of Seam Carving for Content-Aware Image Resizing

    Seam carving is a classical content-aware image resizing operator that modifies the width or height of an image by repeatedly removing (or inserting) seams, i.e., 8-connected monotonic paths of pixels of locally minimal importance. Because seams bend around salient content rather…

  2. arXiv cs.CV TIER_1 English(EN) · Francesco Tosoni ·

    An Analysis and Implementation of Seam Carving for Content-Aware Image Resizing

    arXiv:2608.04329v1 Announce Type: new Abstract: Seam carving is a classical content-aware image resizing operator that modifies the width or height of an image by repeatedly removing (or inserting) seams, i.e., 8-connected monotonic paths of pixels of locally minimal importance. …