<title>Retinex processing for automatic image enhancement</title>

Abstract

In the last published concept (1986) for a Retinex computation, Edwin Land introduced a center/surround spatial form, which was inspired by the receptive field structures of neurophysiology. With this as our starting point we have over the years developed this concept into a full scale automatic image enhancement algorithmthe Multi-Scale Retinex with Color Restoration (MSRCR) which combines color constancy with local contrast/lightness enhancement to transform digital images into renditions that approach the realism of direct scene observation. The MSRCR algorithm has proven to be quite general purpose, and very resilient to common forms of image pre-processing such as reasonable ranges of gamma and contrast stretch transformations. More recently we have been exploring the fundamental scientific implications of this form of image processing, namely: (i) the visual inadequacy of the linear representation of digital images, (ii) the existence of a canonical or statistical ideal visual image, and (iii) new measures of visual quality based upon these insights derived from our extensive experience with MSRCR enhanced images. The lattermost serves as the basis for future schemes for automating visual assessment-a primitive first step in bringing visual intelligence to computers.

Análise experimental de algoritmos de constância de cor e segmentação para detecção de mudas de plantas

“…Fazendo uso deste operador gaussiano como função de cálculo de região normalizada, um primeiro método, conhecido como Single-Scale Retinex (SSR) pode ser explorado (RAHMAN; WOODELL, 2004;PETRO;SBERT;MOREL, 2014). Sua forma matemática, a ser estendida para todos os canais da imagem, é dada por:…”

Contrast Enhancement of Color Images Using Improved Retinex Method

“…MSR [18][2] provide color enhancement. It also provides dynamic range compression and tonal rendition.…”

Adaptive Video Enhancement Algorithm for Military Surveillance Camera Systems

“…결국, Retinex 알고리즘은 조명성분과 반사성분을 각각 분리해 내어 조명성분의 영향을 최 대한 제거하고 반사성분을 강조시켜 입력 영상의 다 이나믹 레인지 (Dynamic Range) [11] 를 압축하고 영상 의 선명도를 향상시키는 방법이라 할 수 있다. 반사성분을 획득하는 과정은 수식 (2), (3)과 같다 [3] . …”